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Head And Neck Tumor Segmentation And Outcome Prediction
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Book Synopsis Head and Neck Tumor Segmentation and Outcome Prediction by : Vincent Andrearczyk
Download or read book Head and Neck Tumor Segmentation and Outcome Prediction written by Vincent Andrearczyk and published by Springer Nature. This book was released on 2022-03-12 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the Second 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually on September 27, 2021, due to the COVID-19 pandemic. The 29 contributions presented, as well as an overview paper, were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 325 delineated PET/CT images was made available for training.
Book Synopsis Head and Neck Tumor Segmentation and Outcome Prediction by : Vincent Andrearczyk
Download or read book Head and Neck Tumor Segmentation and Outcome Prediction written by Vincent Andrearczyk and published by Springer Nature. This book was released on 2023-03-17 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022. The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated PET/CT images was made available for training.
Book Synopsis Head and Neck Tumor Segmentation by : Vincent Andrearczyk
Download or read book Head and Neck Tumor Segmentation written by Vincent Andrearczyk and published by Springer Nature. This book was released on 2021-01-12 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the First 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic. The 2 full and 8 short papers presented together with an overview paper in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 204 delineated PET/CT images was made available for training as well as 53 PET/CT images for testing. Various deep learning methods were developed by the participants with excellent results.
Book Synopsis Outcome Prediction in Head and Neck Cancer Patients Using Machine Learning Methods by : David John Dellsperger
Download or read book Outcome Prediction in Head and Neck Cancer Patients Using Machine Learning Methods written by David John Dellsperger and published by . This book was released on 2014 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: Head and Neck cancers account for approximately 3.2% of the estimated 1,660,290 new cancer cases for the year 2013 and roughly 1.9% of cancer-related deaths in 2013. In this research, machine learning techniques were employed to predict outcome in cancer patients supporting more objective assessment of the treatments, including surgery, radiation therapy, or chemotherapy. Selection of features capable of distinguishing between the possible outcomes was accomplished by using a highly selective cohort of 61 patients with similar treatment and location of the primary tumor. An accuracy of 80.33% (compared to a baseline majority classifier of 60.66%) was achieved utilizing this cohort. Further, it is shown that this limited cohort has the power to provide valuable information on outcome prediction utilizing as few as four features. Feature selection was drawn from both clinical features and quantitative imaging features including the site of cancer, primary tumor volume, and race.
Book Synopsis Prognosis prediction and risk stratification in head and neck cancer by : Heming Lu
Download or read book Prognosis prediction and risk stratification in head and neck cancer written by Heming Lu and published by Frontiers Media SA. This book was released on 2023-02-03 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deep learning for head and neck tumor segmentation by :
Download or read book Deep learning for head and neck tumor segmentation written by and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Head and Neck Cancer Imaging by : Robert Hermans
Download or read book Head and Neck Cancer Imaging written by Robert Hermans and published by Springer Science & Business Media. This book was released on 2006-02-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive review of state-of-the-art imaging in head and neck cancer. Precise determination of tumor extent is of the utmost importance in these neoplasms, as it has important consequences for staging of disease, prediction of outcome and choice of treatment. Only the radiologist can fully appreciate submucosal, perineural, and perivascular tumor spread and detect metastatic disease at an early stage. Imaging is also of considerable benefit for patient surveillance after treatment. All imaging modalities currently used in the management of head and neck neoplasms are considered in depth, and in addition newer techniques such as PET-CT and diffusion-weighted MRI are discussed. This book will help the reader to recommend, execute and report head and neck imaging studies at a high level of sophistication and thereby to become a respected member of the team managing head and neck cancer.
Book Synopsis Head and Neck Tumor Segmentation by : Vincent Andrearczyk
Download or read book Head and Neck Tumor Segmentation written by Vincent Andrearczyk and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Convolutional Neural Networks for Head and Neck Tumor Segmentation on 7-channel Multiparametric MRI: a Leave-one-out Analysis by : Lars Bielak
Download or read book Convolutional Neural Networks for Head and Neck Tumor Segmentation on 7-channel Multiparametric MRI: a Leave-one-out Analysis written by Lars Bielak and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Convolutional Neural Networks for Head and Neck Tumor Segmentation in MRI by : Lars Bielak
Download or read book Convolutional Neural Networks for Head and Neck Tumor Segmentation in MRI written by Lars Bielak and published by . This book was released on 2022* with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Diffuse Optical Measurements of Head and Neck Tumor Hemodynamics for Early Prediction of Chemo-radiation Therapy Outcomes by : Lixin Dong
Download or read book Diffuse Optical Measurements of Head and Neck Tumor Hemodynamics for Early Prediction of Chemo-radiation Therapy Outcomes written by Lixin Dong and published by . This book was released on 2015 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 by : Hayit Greenspan
Download or read book Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 written by Hayit Greenspan and published by Springer Nature. This book was released on 2023-09-30 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
Book Synopsis Machine Learning in Radiation Oncology by : Issam El Naqa
Download or read book Machine Learning in Radiation Oncology written by Issam El Naqa and published by Springer. This book was released on 2015-06-19 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
Book Synopsis Artificial Intelligence in Healthcare by : Xianghua Xie
Download or read book Artificial Intelligence in Healthcare written by Xianghua Xie and published by Springer Nature. This book was released on with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Brain Tumor Imaging by : Elke Hattingen
Download or read book Brain Tumor Imaging written by Elke Hattingen and published by Springer. This book was released on 2015-09-02 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the basics, the challenges and the limitations of state of the art brain tumor imaging and examines in detail its impact on diagnosis and treatment monitoring. It opens with an introduction to the clinically relevant physical principles of brain imaging. Since MR methodology plays a crucial role in brain imaging, the fundamental aspects of MR spectroscopy, MR perfusion and diffusion-weighted MR methods are described, focusing on the specific demands of brain tumor imaging. The potential and the limits of new imaging methodology are carefully addressed and compared to conventional MR imaging. In the main part of the book, the most important imaging criteria for the differential diagnosis of solid and necrotic brain tumors are delineated and illustrated in examples. A closing section is devoted to the use of MR methods for the monitoring of brain tumor therapy. The book is intended for radiologists, neurologists, neurosurgeons, oncologists and other scientists in the biomedical field with an interest in neuro-oncology.
Book Synopsis Data Management, Analytics and Innovation by : Neha Sharma
Download or read book Data Management, Analytics and Innovation written by Neha Sharma and published by Springer. This book was released on 2021-08-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Book Synopsis Methods in Cancer Imaging and Image-directed Interventions by : Bahram Mohajer
Download or read book Methods in Cancer Imaging and Image-directed Interventions written by Bahram Mohajer and published by Frontiers Media SA. This book was released on 2023-11-08 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frontiers in Oncology is delighted to present the Methods in series of article collections. Methods in Cancer Imaging and Image-directed Interventions will publish high-quality methodical studies on key topics in the field. It aims to highlight recent advances in the field, whilst emphasizing important directions and new possibilities for future inquiries. The Methods in Cancer Imaging and Image-directed Interventions collection aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in Cancer Imaging and Image-directed Interventions. Review Articles or Opinion Articles on methodologies or applications including the advantages and limitations of each are welcome. This Research Topic includes technologies and up-to-date methods which help aim to help advance science.
