Automated Modified Region Growing Technique For Ultrasound Images

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Automated Modified Region Growing Technique for Ultrasound Images

Author : Marian Wahba
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659222504
Total Pages : 124 pages
Book Rating : 4.2/5 (225 download)

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Book Synopsis Automated Modified Region Growing Technique for Ultrasound Images by : Marian Wahba

Download or read book Automated Modified Region Growing Technique for Ultrasound Images written by Marian Wahba and published by LAP Lambert Academic Publishing. This book was released on 2014-02 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical imaging plays a vital role in the medical field because it is widely used in diseases diagnosis and treatment of patients. There are different modalities of medical imaging such as ultrasounds, x-rays, Computed Tomography (CT), Magnetic Resonance (MR), and Positron Emission Tomography (PET). Most of these modalities usually suffer from noise and other sampling artifacts. The diagnosis process in these modalities depends mainly on the interpretation of the radiologists. Consequently, the diagnosis is subjective as it is based on the radiologist experience. Medical image segmentation is an important process in the field of image processing. It has a significant role in many applications such as diagnosis, therapy planning, and advanced surgeries. In this book, we propose a new approach for automatic prostate segmentation of Trans-Rectal UltraSound (TRUS) images by dealing with the speckle not as noise but as informative signals. The proposed approach overcomes the requirement of manually selecting a seed point for initializing the segmentation process. The experimental results of the proposed approach show that it is fast and accurate.

An Automated Modified Region Growing Technique for Prostate Segmentation in Trans-rectal Ultrasound Images

Author : Marian Wahba
Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.:/5 (613 download)

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Book Synopsis An Automated Modified Region Growing Technique for Prostate Segmentation in Trans-rectal Ultrasound Images by : Marian Wahba

Download or read book An Automated Modified Region Growing Technique for Prostate Segmentation in Trans-rectal Ultrasound Images written by Marian Wahba and published by . This book was released on 2008 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical imaging plays a vital role in the medical field because it is widely used in diseases diagnosis and treatment of patients. There are different modalities of medical imaging such as ultrasounds, x-rays, Computed Tomography (CT), Magnetic Resonance (MR), and Positron Emission Tomography (PET). Most of these modalities usually suffer from noise and other sampling artifacts. The diagnosis process in these modalities depends mainly on the interpretation of the radiologists. Consequently, the diagnosis is subjective as it is based on the radiologist experience. Medical image segmentation is an important process in the field of image processing. It has a significant role in many applications such as diagnosis, therapy planning, and advanced surgeries. There are many segmentation techniques to be applied on medical images. However, most of these techniques are still depending on the experts, especially for initializing the segmentation process. The artifacts of images can affect the segmentation output. In this thesis, we propose a new approach for automatic prostate segmentation of Trans-Rectal UltraSound (TRUS) images by dealing with the speckle not as noise but as informative signals. The new approach is an automation of the conventional region growing technique. The proposed approach overcomes the requirement of manually selecting a seed point for initializing the segmentation process. In addition, the proposed approach depends on unique features such as the intensity and the spatial Euclidean distance to overcome the effect of the speckle noise of the images. The experimental results of the proposed approach show that it is fast and accurate. Moreover, it performs well on the ultrasound images, which has the common problem of the speckle noise.

An Adaptive Region Growing based on Neutrosophic Set in Ultrasound Domain for Image Segmentation

Author : XUE JIANG
Publisher : Infinite Study
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4./5 ( download)

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Book Synopsis An Adaptive Region Growing based on Neutrosophic Set in Ultrasound Domain for Image Segmentation by : XUE JIANG

Download or read book An Adaptive Region Growing based on Neutrosophic Set in Ultrasound Domain for Image Segmentation written by XUE JIANG and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast tumor segmentation in ultrasound is important for breast ultrasound (BUS) quantitative analysis and clinical diagnosis. Even this topic has been studied for a long time, it is still a challenging task to segment tumor in BUS accurately arising from difficulties of speckle noise and tissue background inconsistence. To overcome these difficulties, we formulate breast tumor segmentation as a classification problem in the neutrosophic set (NS) domain which has been previously studied for removing speckle noise and enhancing contrast in BUS images. The similarity set score and homogeneity value for each pixel have been calculated in the NS domain to characterize each pixel of BUS image. Based on that, the seed regions are selected by an adaptive Otsu-based thresholding method and morphology operations, then an adaptive region growing approach is developed for obtaining candidate tumor regions in NS domain.

A Novel Neutrosophic Method for Automatic Seed Point Selection in Thyroid Nodule Images

Author : S. O. Haji
Publisher : Infinite Study
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4./5 ( download)

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Book Synopsis A Novel Neutrosophic Method for Automatic Seed Point Selection in Thyroid Nodule Images by : S. O. Haji

Download or read book A Novel Neutrosophic Method for Automatic Seed Point Selection in Thyroid Nodule Images written by S. O. Haji and published by Infinite Study. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thyroid nodule is one of the endocrine issues caused by an irregular cell development.This rate of survival can be improved by earlier nodule detection. Accordingly, the accurate recognition of the nodule is of the utmost importance in providing powerful results in building the survival rate.

Deep Learning in Biomedical Signal and Medical Imaging

Author : Ngangbam Herojit Singh
Publisher : CRC Press
ISBN 13 : 1040107117
Total Pages : 274 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Deep Learning in Biomedical Signal and Medical Imaging by : Ngangbam Herojit Singh

Download or read book Deep Learning in Biomedical Signal and Medical Imaging written by Ngangbam Herojit Singh and published by CRC Press. This book was released on 2024-09-30 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers detailed information on biomedical imaging using Deep Convolutional Neural Networks (Deep CNN). It focuses on different types of biomedical images to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis and image processing perspectives. Deep Learning in Biomedical Signal and Medical Imaging discusses classification, segmentation, detection, tracking, and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT, and X-RAY, amongst others. It surveys the most recent techniques and approaches in this field, with both broad coverage and enough depth to be of practical use to working professionals. It includes examples of the application of signal and image processing employing Deep CNN to Alzheimer’s, brain tumor, skin cancer, breast cancer, and stroke prediction, as well as ECG and EEG signals. This book offers enough fundamental and technical information on these techniques, approaches, and related problems without overcrowding the reader’s head. It presents the results of the latest investigations in the field of Deep CNN for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine the fundamental theory of artificial intelligence (AI), machine learning (ML,) and Deep CNN with practical applications in biology and medicine. Certainly, the list of topics covered in this book is not exhaustive, but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book is written for graduate students, researchers, and professionals in biomedical engineering, electrical engineering, signal process engineering, biomedical imaging, and computer science. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educators who are working in the context of the topics.

Applications of Artificial Intelligence Techniques in Engineering

Author : Hasmat Malik
Publisher : Springer
ISBN 13 : 9811318190
Total Pages : 643 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Applications of Artificial Intelligence Techniques in Engineering by : Hasmat Malik

Download or read book Applications of Artificial Intelligence Techniques in Engineering written by Hasmat Malik and published by Springer. This book was released on 2018-09-28 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.

A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images

Author : YaozhongLuo
Publisher : Infinite Study
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4./5 ( download)

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Book Synopsis A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images by : YaozhongLuo

Download or read book A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images written by YaozhongLuo and published by Infinite Study. This book was released on with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ultrasound imaging has become one of the most popular medical imaging modalities with numerous diagnostic applications. However, ultrasound (US) image segmentation, which is the essential process for further analysis, is a challenging task due to the poor image quality.

Intelligent Systems and Machine Learning

Author : Sachi Nandan Mohanty
Publisher : Springer Nature
ISBN 13 : 3031350782
Total Pages : 533 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Intelligent Systems and Machine Learning by : Sachi Nandan Mohanty

Download or read book Intelligent Systems and Machine Learning written by Sachi Nandan Mohanty and published by Springer Nature. This book was released on 2023-07-09 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the First EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad, India, in December 16-17,2022. The 75 full papers presented were carefully reviewed and selected from 209 submissions. The conference focuses on Intelligent Systems and Machine Learning Applications in Health care; Digital Forensic & Network Security; Intelligent Communication Wireless Networks; Internet of Things (IoT) Applications; Social Informatics; and Emerging Applications.

Advances in Computational Techniques for Biomedical Image Analysis

Author : Deepika Koundal
Publisher : Academic Press
ISBN 13 : 0128204117
Total Pages : 324 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Advances in Computational Techniques for Biomedical Image Analysis by : Deepika Koundal

Download or read book Advances in Computational Techniques for Biomedical Image Analysis written by Deepika Koundal and published by Academic Press. This book was released on 2020-05-28 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. Covers various challenges and common research issues related to biomedical image analysis Describes advanced computational approaches for biomedical image analysis Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization Explores cloud based medical imaging together with medical imaging security and forensics

Knowledge-based Intelligent Information And Engineering Systems

Author : Robert J. Howlett
Publisher : Springer Science & Business Media
ISBN 13 : 3540288953
Total Pages : 1447 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Knowledge-based Intelligent Information And Engineering Systems by : Robert J. Howlett

Download or read book Knowledge-based Intelligent Information And Engineering Systems written by Robert J. Howlett and published by Springer Science & Business Media. This book was released on 2005-09 with total page 1447 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684 constitute the refereed proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected from nearly 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense. The second volume contains papers on machine learning, immunity-based systems, medical diagnosis, intelligent hybrid systems and control, emotional intelligence and smart systems, context-aware evolvable systems, intelligent fuzzy systems and control, knowledge representation and its practical application in today's society, approaches and methods into security engineering, communicative intelligence, intelligent watermarking algorithms and applications, intelligent techniques and control, e-learning and ICT, logic based intelligent information systems, intelligent agents and their applications, innovations in intelligent agents, ontologies and the semantic web, knowledge discovery in data streams, computational intelligence tools techniques and algorithms, watermarking applications, multimedia retrieval, soft computing approach to industrial engineering, and experience management and information systems.

Advancements and Breakthroughs in Ultrasound Imaging

Author : G P P Gunarathne
Publisher : BoD – Books on Demand
ISBN 13 : 9535111590
Total Pages : 308 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Advancements and Breakthroughs in Ultrasound Imaging by : G P P Gunarathne

Download or read book Advancements and Breakthroughs in Ultrasound Imaging written by G P P Gunarathne and published by BoD – Books on Demand. This book was released on 2013-06-05 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ultrasonic imaging is a powerful diagnostic tool available to medical practitioners, engineers and researchers today. Due to the relative safety, and the non-invasive nature, ultrasonic imaging has become one of the most rapidly advancing technologies. These rapid advances are directly related to the parallel advancements in electronics, computing, and transducer technology together with sophisticated signal processing techniques. This book focuses on state of the art developments in ultrasonic imaging applications and underlying technologies presented by leading practitioners and researchers from many parts of the world.

Automated breast cancer detection and classification using ultrasound images: A survey

Author : H.D.Cheng
Publisher : Infinite Study
ISBN 13 :
Total Pages : 19 pages
Book Rating : 4./5 ( download)

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Book Synopsis Automated breast cancer detection and classification using ultrasound images: A survey by : H.D.Cheng

Download or read book Automated breast cancer detection and classification using ultrasound images: A survey written by H.D.Cheng and published by Infinite Study. This book was released on with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast cancer is the second leading cause of death for women all over the world. Since the cause of the disease remains unknown, early detection and diagnosis is the key for breast cancer control, and it can increase the success of treatment, save lives and reduce cost. Ultrasound imaging is one of the most frequently used diagnosis tools to detect and classify abnormalities of the breast.

Image Processing for Automated Diagnosis of Cardiac Diseases

Author : Kalpana Chauhan
Publisher : Academic Press
ISBN 13 : 0323850650
Total Pages : 240 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Image Processing for Automated Diagnosis of Cardiac Diseases by : Kalpana Chauhan

Download or read book Image Processing for Automated Diagnosis of Cardiac Diseases written by Kalpana Chauhan and published by Academic Press. This book was released on 2021-07-13 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Processing for Automated Diagnosis of Cardiac Diseases highlights current and emerging technologies for the automated diagnosis of cardiac diseases. It presents concepts and practical algorithms, including techniques for the automated diagnosis of organs in motion using image processing. This book is suitable for biomedical engineering researchers, engineers and scientists in research and development, and clinicians who want to learn more about and develop advanced concepts in image processing to overcome the challenges of automated diagnosis of heart disease. Includes advanced techniques to improve diagnostic methods for various cardiac diseases Uses methods to improve the existing diagnostic features of echocardiographic machines Develops new diagnostic features for echocardiographic machines

Neutrosophic Set in Medical Image Analysis

Author : Yanhui Guo
Publisher : Academic Press
ISBN 13 : 0128181494
Total Pages : 370 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Neutrosophic Set in Medical Image Analysis by : Yanhui Guo

Download or read book Neutrosophic Set in Medical Image Analysis written by Yanhui Guo and published by Academic Press. This book was released on 2019-08-08 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set’s novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis. Introduces the mathematical model and concepts of neutrosophic theory and methods Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning Shows how NS techniques can be applied to medical image denoising, segmentation and classification Provides challenges and future directions in neutrosophic set based medical image analysis

Image and Video Retrieval

Author : Wee-Kheng Leow
Publisher : Springer
ISBN 13 : 3540316787
Total Pages : 686 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Image and Video Retrieval by : Wee-Kheng Leow

Download or read book Image and Video Retrieval written by Wee-Kheng Leow and published by Springer. This book was released on 2007-05-22 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: It was our great pleasure to host the 4th International Conference on Image and Video Retrieval (CIVR) at the National University of Singapore on 20–22 July 2005. CIVR aims to provide an international forum for the discussion of research challenges and exchange of ideas among researchers and practitioners in image/video retrieval technologies. It addresses innovative research in the broad ?eld of image and video retrieval. A unique feature of this conference is the high level of participation by researchers from both academia and industry. Another unique feature of CIVR this year was in its format – it o?ered both the traditional oral presentation sessions, as well as the short presentation cum poster sessions. The latter provided an informal alternative forum for animated discussions and exchanges of ideas among the participants. We are pleased to note that interest in CIVR has grown over the years. The number of submissions has steadily increased from 82 in 2002, to 119 in 2003, and 125 in 2004. This year, we received 128 submissions from the international communities:with81(63.3%)fromAsiaandAustralia,25(19.5%)fromEurope, and 22 (17.2%) from North America. After a rigorous review process, 20 papers were accepted for oral presentations, and 42 papers were accepted for poster presentations. In addition to the accepted submitted papers, the program also included 4 invited papers, 1 keynote industrial paper, and 4 invited industrial papers. Altogether, we o?ered a diverse and interesting program, addressing the current interests and future trends in this area.

Computer-aided Design and Diagnosis Methods for Biomedical Applications

Author : Varun Bajaj
Publisher : CRC Press
ISBN 13 : 1000374289
Total Pages : 392 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Computer-aided Design and Diagnosis Methods for Biomedical Applications by : Varun Bajaj

Download or read book Computer-aided Design and Diagnosis Methods for Biomedical Applications written by Varun Bajaj and published by CRC Press. This book was released on 2021-04-28 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer-aided design (CAD) plays a key role in improving biomedical systems for various applications. It also helps in the detection, identification, predication, analysis, and classification of diseases, in the management of chronic conditions, and in the delivery of health services. This book discusses the uses of CAD to solve real-world problems and challenges in biomedical systems with the help of appropriate case studies and research simulation results. Aiming to overcome the gap between CAD and biomedical science, it describes behaviors, concepts, fundamentals, principles, case studies, and future directions for research, including the automatic identification of related disorders using CAD. Features: Proposes CAD for the study of biomedical signals to understand physiology and to improve healthcare systems’ ability to diagnose and identify health disorders. Presents concepts of CAD for biomedical modalities in different disorders. Discusses design and simulation examples, issues, and challenges. Illustrates bio-potential signals and their appropriate use in studying different disorders. Includes case studies, practical examples, and research directions. Computer-Aided Design and Diagnosis Methods for Biometrical Applications is aimed at researchers, graduate students in biomedical engineering, image processing, biomedical technology, medical imaging, and health informatics.

Deep Learning for Medical Image Analysis

Author : S. Kevin Zhou
Publisher : Academic Press
ISBN 13 : 0323858880
Total Pages : 544 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Medical Image Analysis by : S. Kevin Zhou

Download or read book Deep Learning for Medical Image Analysis written by S. Kevin Zhou and published by Academic Press. This book was released on 2023-12-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis. · Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache