Automated Modified Region Growing Technique for Ultrasound Images

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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

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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

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Author :
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.

Deep Learning in Biomedical Signal and Medical Imaging

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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

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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 Neutrosophic Method for Automatic Seed Point Selection in Thyroid Nodule Images

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Author :
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.

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

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Author :
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

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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.

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

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Author :
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.

Soft Computing Based Medical Image Analysis

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Publisher : Academic Press
ISBN 13 : 0128131748
Total Pages : 292 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Soft Computing Based Medical Image Analysis by : Nilanjan Dey

Download or read book Soft Computing Based Medical Image Analysis written by Nilanjan Dey and published by Academic Press. This book was released on 2018-01-18 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Image and Video Retrieval

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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.

Neutrosophic Set in Medical Image Analysis

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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

A Survey Of Ultrasonography Breast Cancer Image Segmentation Techniques

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Publisher : Infinite Study
ISBN 13 :
Total Pages : 14 pages
Book Rating : 4./5 ( download)

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Book Synopsis A Survey Of Ultrasonography Breast Cancer Image Segmentation Techniques by : Jwan Najeeb Saeed

Download or read book A Survey Of Ultrasonography Breast Cancer Image Segmentation Techniques written by Jwan Najeeb Saeed and published by Infinite Study. This book was released on with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most common cause of death among women globally is breast cancer. One of the key strategies to reduce mortality associated with breast cancer is to develop effective early detection techniques. The segmentation of breast ultrasound (BUS) image in Computer-Aided Diagnosis (CAD) systems is critical and challenging. Image segmentation aims to represent the image in a simplified and more meaningful way while retaining crucial features for easier analysis.

Digital Image Processing for Medical Applications

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Publisher : Cambridge University Press
ISBN 13 : 0521860857
Total Pages : 463 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Digital Image Processing for Medical Applications by : Geoff Dougherty

Download or read book Digital Image Processing for Medical Applications written by Geoff Dougherty and published by Cambridge University Press. This book was released on 2009 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-on text for a first course aimed at end-users, focusing on concepts, practical issues and problem solving.

Medical Image Registration

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Publisher : CRC Press
ISBN 13 : 1420042475
Total Pages : 394 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Medical Image Registration by : Joseph V. Hajnal

Download or read book Medical Image Registration written by Joseph V. Hajnal and published by CRC Press. This book was released on 2001-06-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid

A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017

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Publisher : Infinite Study
ISBN 13 :
Total Pages : 57 pages
Book Rating : 4./5 ( download)

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Book Synopsis A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017 by : Xindong Peng

Download or read book A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017 written by Xindong Peng and published by Infinite Study. This book was released on with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neutrosophic set, initiated by Smarandache, is a novel tool to deal with vagueness considering the truth-membership T, indeterminacy-membership I and falsity-membership F satisfying the condition 0 ≤ T + I + F ≤ 3. It can be used to characterize the uncertain information more sufficiently and accurately than intuitionistic fuzzy set. Neutrosophic set has attracted great attention of many scholars that have been extended to new types and these extensions have been used in many areas such as aggregation operators, decision making, image processing, information measures, graph and algebraic structures.

Application of Biomedical Engineering in Neuroscience

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Publisher : Springer Nature
ISBN 13 : 9811371423
Total Pages : 483 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Application of Biomedical Engineering in Neuroscience by : Sudip Paul

Download or read book Application of Biomedical Engineering in Neuroscience written by Sudip Paul and published by Springer Nature. This book was released on 2019-11-19 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on interdisciplinary research in the field of biomedical engineering and neuroscience. Biomedical engineering is a vast field, ranging from bioengineering to brain-computer interfaces. The book explores the system-level function and dysfunction of the nervous system from scientific and engineering perspectives. The initial sections introduce readers to the physiology of the brain, and to the biomedical tools needed for diagnostics and effective therapies for various neurodegenerative and regenerative disorders. In turn, the book summarizes the biomedical interventions that are used to understand the neural mechanisms underlying empathy disorders, and reviews recent advances in biomedical engineering for rehabilitation in connection with neurodevelopmental disorders and brain injuries. Lastly, the book discusses innovations in machine learning and artificial intelligence for computer-aided disease diagnosis and treatment, as well as applications of nanotechnology in therapeutic neurology.