Computational Retinal Image Analysis

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  • Publisher : Academic Press
  • Release : 25 November 2019
  • ISBN : 9780081028179
  • Page : 502 pages
  • Rating : 4.5/5 from 103 voters

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Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more. Provides a unique, well-structured and integrated overview of retinal image analysis Gives insights into future areas, such as large-scale screening programs, precision medicine, and computer-assisted eye care Includes plans and aspirations of companies and professional bodies

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Computational Retinal Image Analysis

Computational Retinal Image Analysis
  • Author : Emanuele Trucco,Tom MacGillivray,Yanwu Xu
  • Publisher : Academic Press
  • Release Date : 2019-11-25
  • ISBN : 9780081028179
GET THIS BOOKComputational Retinal Image Analysis

Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference

Image Analysis and Modeling in Ophthalmology

Image Analysis and Modeling in Ophthalmology
  • Author : Eddie Y. K. Ng,U. Rajendra Acharya,Jasjit S. Suri,Aurelio Campilho
  • Publisher : CRC Press
  • Release Date : 2014-02-11
  • ISBN : 9781466559387
GET THIS BOOKImage Analysis and Modeling in Ophthalmology

Digital fundus images can effectively diagnose glaucoma and diabetes retinopathy, while infrared imaging can show changes in the vascular tissues. Likening the eye to the conventional camera, Image Analysis and Modeling in Ophthalmology explores the application of advanced image processing in ocular imaging. This book considers how images can be us

Computational Analysis Of The Human Eye With Applications

Computational Analysis Of The Human Eye With Applications
  • Author : Sumeet Dua,Rajendra Acharya U,Eddie Yin-kwee Ng
  • Publisher : World Scientific
  • Release Date : 2011-04-21
  • ISBN : 9789814462051
GET THIS BOOKComputational Analysis Of The Human Eye With Applications

Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential surge in data collected by biomedical scientists and medical practitioners. Interpreting this raw data is a challenging task, and nowhere is this more evident than in the field of opthalmology. The sheer speed at which data on cataracts, diabetic retinopathy, glaucoma and other eye disorders are collected, makes it impossible for the human

Image Analysis and Recognition

Image Analysis and Recognition
  • Author : Fakhri Karray,Aurélio Campilho,Farida Cheriet
  • Publisher : Springer
  • Release Date : 2017-06-19
  • ISBN : 9783319598765
GET THIS BOOKImage Analysis and Recognition

This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017. The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in

Medical Image Understanding and Analysis

Medical Image Understanding and Analysis
  • Author : Bartłomiej W. Papież,Mohammad Yaqub,Jianbo Jiao,Ana I. L. Namburete,J. Alison Noble
  • Publisher : Springer Nature
  • Release Date : 2021-07-06
  • ISBN : 9783030804329
GET THIS BOOKMedical Image Understanding and Analysis

This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and 8 short papers presented were carefully reviewed and selected from 77 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging.

Ophthalmic Medical Image Analysis

Ophthalmic Medical Image Analysis
  • Author : Huazhu Fu,Mona K. Garvin,Tom MacGillivray,Yanwu Xu,Yalin Zheng
  • Publisher : Springer Nature
  • Release Date : 2021-09-21
  • ISBN : 9783030870003
GET THIS BOOKOphthalmic Medical Image Analysis

This book constitutes the refereed proceedings of the 8th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in September 2021.* The 20 papers presented at OMIA 2021 were carefully reviewed and selected from 31 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g.,

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
  • Author : Anne L. Martel,Purang Abolmaesumi,Danail Stoyanov,Diana Mateus,Maria A. Zuluaga,S. Kevin Zhou,Daniel Racoceanu,Leo Joskowicz
  • Publisher : Springer Nature
  • Release Date : 2020-10-02
  • ISBN : 9783030597221
GET THIS BOOKMedical Image Computing and Computer Assisted Intervention – MICCAI 2020

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction;

Computational Vision and Medical Image Processing V

Computational Vision and Medical Image Processing V
  • Author : Joao Tavares,R.M. Natal Jorge
  • Publisher : CRC Press
  • Release Date : 2015-10-14
  • ISBN : 9781315642796
GET THIS BOOKComputational Vision and Medical Image Processing V

VipIMAGE 2015 contains invited lectures and full papers presented at VIPIMAGE 2015 - V ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Tenerife, Canary Islands, Spain, 19-21 October, 2015). International contributions from 19 countries provide a comprehensive coverage of the current state-of-the-art in the fields o

Biomedical Image Synthesis and Simulation

Biomedical Image Synthesis and Simulation
  • Author : Ninon Burgos,David Svoboda
  • Publisher : Academic Press
  • Release Date : 2022-06-30
  • ISBN : 9780128243503
GET THIS BOOKBiomedical Image Synthesis and Simulation

Biomedical Image Synthesis and Simulations: Methods and Applications presents the latest on basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. Sections introduce and describe the simulation and synthesis methods that were developed and successfully used within the last twenty years and give examples of successful applications of these methods. As the book provides a survey of all the commonly established approaches and more recent deep learning methods, it is highly suitable for graduate

Computational Vision and Medical Image Processing

Computational Vision and Medical Image Processing
  • Author : Joao Tavares,R. M. Natal Jorge
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-11-22
  • ISBN : 9789400700116
GET THIS BOOKComputational Vision and Medical Image Processing

This book contains extended versions of papers presented at the international Conference VIPIMAGE 2009 – ECCOMAS Thematic Conference on Computational Vision and Medical Image, that was held at Faculdade de Engenharia da Universidade do Porto, Portugal, from 14th to 16th of October 2009. This conference was the second ECCOMAS thematic conference on computational vision and medical image processing. It covered topics related to image processing and analysis, medical imaging and computational modelling and simulation, considering their multidisciplinary nature. The book collects the state-of-the-art

Signal Processing and Machine Learning for Biomedical Big Data

Signal Processing and Machine Learning for Biomedical Big Data
  • Author : Ervin Sejdic,Tiago H. Falk
  • Publisher : CRC Press
  • Release Date : 2018-07-04
  • ISBN : 9781351061216
GET THIS BOOKSignal Processing and Machine Learning for Biomedical Big Data

This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give

Deep Learning in Medical Image Analysis

Deep Learning in Medical Image Analysis
  • Author : Gobert Lee,Hiroshi Fujita
  • Publisher : Springer Nature
  • Release Date : 2020-02-06
  • ISBN : 9783030331283
GET THIS BOOKDeep Learning in Medical Image Analysis

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical

Seeing, second edition

Seeing, second edition
  • Author : John P. Frisby,James V. Stone
  • Publisher : MIT Press
  • Release Date : 2010-04-02
  • ISBN : 9780262514279
GET THIS BOOKSeeing, second edition

An accessible yet rigorous and generously illustrated exploration of the computational approach to the study of biological vision. Seeing has puzzled scientists and philosophers for centuries and it continues to do so. This new edition of a classic text offers an accessible but rigorous introduction to the computational approach to understanding biological visual systems. The authors of Seeing, taking as their premise David Marr's statement that “to understand vision by studying only neurons is like trying to understand bird flight

Visual Population Codes

Visual Population Codes
  • Author : Nikolaus Kriegeskorte,Gabriel Kreiman
  • Publisher : MIT Press
  • Release Date : 2012
  • ISBN : 9780262016247
GET THIS BOOKVisual Population Codes

How visual content is represented in neuronal population codes and how to analyze such codes with multivariate techniques.

Front-End Vision and Multi-Scale Image Analysis

Front-End Vision and Multi-Scale Image Analysis
  • Author : Bart M. Haar Romeny
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-10-24
  • ISBN : 9781402088407
GET THIS BOOKFront-End Vision and Multi-Scale Image Analysis

Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow computation techniques can discriminated (see for a good overview Beauchemin and Barron IBeauchemin19951): gradient based (or differential) methods; phase based (or frequency domain) methods; correlation based (or area) methods; feature point (or sparse data) tracking methods; In this chapter we compute the optic flow as a dense optic flow field with a multi scale differential