Deep Learning Of Unified Region Edge And Contour Models For Automated Image Segmentation

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Deep Learning Of Unified Region Edge And Contour Models For Automated Image Segmentation

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Author : Ali Hatamizadeh
language : en
Publisher:
Release Date : 2020

Deep Learning Of Unified Region Edge And Contour Models For Automated Image Segmentation written by Ali Hatamizadeh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Image segmentation is a fundamental and challenging problem in computer vision with applications spanning multiple areas, such as medical imaging, remote sensing, and autonomous vehicles. Recently, convolutional neural networks (CNNs) have gained traction in the design of automated segmentation pipelines. Although CNN-based models are adept at learning abstract features from raw image data, their performance is dependent on the availability and size of suitable training datasets. Additionally, these models are often unable to capture the details of object boundaries and generalize poorly to unseen classes. In this thesis, we devise novel methodologies that address these issues and establish robust representation learning frameworks for fully-automatic semantic segmentation in medical imaging and mainstream computer vision. In particular, our contributions include (1) state-of-the-art 2D and 3D image segmentation networks for computer vision and medical image analysis, (2) an end-to-end trainable image segmentation framework that unifies CNNs and active contour models with learnable parameters for fast and robust object delineation, (3) a novel approach for disentangling edge and texture processing in segmentation networks, and (4) a novel few-shot learning model in both supervised settings and semi-supervised settings where synergies between latent and image spaces are leveraged to learn to segment images given limited training data.

Emerging Multi Modalities Healthcare Analytics Using Machine Learning

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Author : Khin Wee Lai
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-15

Emerging Multi Modalities Healthcare Analytics Using Machine Learning written by Khin Wee Lai and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Medical categories.

Deep Learning For Biomedical Applications

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Author : Utku Kose
language : en
Publisher: CRC Press
Release Date : 2021-07-19

Deep Learning For Biomedical Applications written by Utku Kose and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Technology & Engineering categories.

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics.

Investigating Ai Based Smart Precision Agriculture Techniques

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Author : Uzair Aslam Bhatti
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-31

Investigating Ai Based Smart Precision Agriculture Techniques written by Uzair Aslam Bhatti and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Science categories.

Artificial Intelligence In Biomedical And Modern Healthcare Informatics

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Author : M. A. Ansari
language : en
Publisher: Elsevier
Release Date : 2024-10-03

Artificial Intelligence In Biomedical And Modern Healthcare Informatics written by M. A. Ansari and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-03 with Science categories.

Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system.The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease.The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications.With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare. - Discusses fundamental and advanced approaches as well as optimization techniques used in AI for healthcare systems - Includes chapters on various established imaging methods as well as emerging methods for skin cancer, brain tumor, epileptic seizures, and kidney diseases - Adopts a bottom-up approach and proposes recent trends in simple manner with the help of real-world examples - Synthesizes the existing international evidence and expert opinions on implementing decommissioning in healthcare - Promotes research in the field of health and hospital management in order to improve the efficiency of healthcare delivery systems

Prognostic Models In Healthcare Ai And Statistical Approaches

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Author : Tanzila Saba
language : en
Publisher: Springer Nature
Release Date : 2022-07-06

Prognostic Models In Healthcare Ai And Statistical Approaches written by Tanzila Saba and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-06 with Technology & Engineering categories.

This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.

Pattern Recognition

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Author : Gerhard Rigoll
language : en
Publisher: Springer
Release Date : 2008-06-29

Pattern Recognition written by Gerhard Rigoll and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-29 with Computers categories.

This book constitutes the refereed proceedings of the 30th Symposium of the German Association for Pattern Recognition, DAGM 2008, held in Munich, Germany, in June 2008. The 53 revised full papers were carefully reviewed and selected from 136 submissions. The papers are organized in topical sections on learning and classification, tracking, medical image processing and segmentation, audio, speech and handwriting recognition, multiview geometry and 3D-reconstruction, motion and matching, and image analysis.

Pattern Recognition

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Author : DAGM (Organization). Symposium
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-05-30

Pattern Recognition written by DAGM (Organization). Symposium and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-30 with Computers categories.

This book constitutes the refereed proceedings of the 30th Symposium of the German Association for Pattern Recognition, DAGM 2008, held in Munich, Germany, in June 2008. The 53 revised full papers were carefully reviewed and selected from 136 submissions. The papers are organized in topical sections on learning and classification, tracking, medical image processing and segmentation, audio, speech and handwriting recognition, multiview geometry and 3D-reconstruction, motion and matching, and image analysis.

Ryan S Retina E Book

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Author : SriniVas R. Sadda
language : en
Publisher: Elsevier Health Sciences
Release Date : 2022-04-13

Ryan S Retina E Book written by SriniVas R. Sadda and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-13 with Medical categories.

Through six outstanding and award-winning editions, Ryan's Retina has offered unsurpassed coverage of this complex subspecialty—everything from basic science through the latest research, therapeutics, technology, and surgical techniques. The fully revised 7th Edition, edited by Drs. SriniVas R. Sadda, Andrew P. Schachat, Charles P. Wilkinson, David R. Hinton, Peter Wiedemann, K. Bailey Freund, and David Sarraf, continues the tradition of excellence, balancing the latest scientific research and clinical correlations and covering everything you need to know on retinal diagnosis, treatment, development, structure, function, and pathophysiology. More than 300 global contributors share their knowledge and expertise to create the most comprehensive reference available on retina today. - Features sweeping content updates, including new insights into the fundamental pathogenic mechanisms of age-related macular degeneration, advances in imaging including OCT angiography and intraoperative OCT, new therapeutics for retinal vascular disease and AMD, novel immune-based therapies for uveitis, and the latest in instrumentation and techniques for vitreo-retinal surgery. - Includes five new chapters covering Artificial Intelligence and Advanced Imaging Analysis, Pachychoroid Disease and Its Association with Polypoidal Choroidal Vasculopathy, Retinal Manifestations of Neurodegeneration, Microbiome and Retinal Disease, and OCT-Angiography. - Includes more than 50 video clips (35 new to this edition) highlighting the latest surgical techniques, imaging guidance, and coverage of complications of vitreoretinal surgery. New videos cover Scleral Inlay for Recurrent Optic Nerve Pit Masculopathy, Trauma with Contact Lens, Recurrent Retinal Detachment due to PVR, Asteroid Hyalosis, and many more. - Contains more than 2,000 high-quality images (700 new to this edition) including anatomical illustrations, clinical and surgical photographs, diagnostic imaging, decision trees, and graphs. - Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.

Proceedings Of The 2nd International Conference On Big Data Iot And Machine Learning

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Author : Mohammad Shamsul Arefin
language : en
Publisher: Springer Nature
Release Date : 2024-03-29

Proceedings Of The 2nd International Conference On Big Data Iot And Machine Learning written by Mohammad Shamsul Arefin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.

This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6–8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.