Computational 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 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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  • Author : Emanuele Trucco
  • Publisher : Academic Press
  • Pages : 502 pages
  • ISBN : 0081028172
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKComputational Retinal Image Analysis

Computational Retinal Image Analysis

Computational Retinal Image Analysis
  • Author : Emanuele Trucco,Tom MacGillivray,Yanwu Xu
  • Publisher : Academic Press
  • Release : 25 November 2019
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 Recognition

Image Analysis and Recognition
  • Author : Fakhri Karray,Aurélio Campilho,Farida Cheriet
  • Publisher : Springer
  • Release : 19 June 2017
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 : 06 July 2021
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 : 21 September 2021
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.,

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 : 11 February 2014
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

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 : 02 October 2020
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 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 : 21 April 2011
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

Computational Pathology and Ophthalmic Medical Image Analysis

Computational Pathology and Ophthalmic Medical Image Analysis
  • Author : Danail Stoyanov,Zeike Taylor,Francesco Ciompi,Yanwu Xu,Anne Martel,Lena Maier-Hein,Nasir Rajpoot,Jeroen van der Laak,Mitko Veta,Stephen McKenna,David Snead,Emanuele Trucco,Mona K. Garvin,Xin Jan Chen,Hrvoje Bogunovic
  • Publisher : Springer
  • Release : 13 September 2018
GET THIS BOOKComputational Pathology and Ophthalmic Medical Image Analysis

This book constitutes the refereed joint proceedings of the First International Workshop on Computational Pathology, COMPAY 2018, and the 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 19 full papers (out of 25 submissions) presented at COMPAY 2018 and the 21 full papers (out of 31 submissions) presented at OMIA 2018 were carefully reviewed and selected. The COMPAY papers focus on artificial intelligence and deep

Radiomics and Its Clinical Application

Radiomics and Its Clinical Application
  • Author : Jie Tian,Di Dong,Zhenyu Liu,Jingwei Wei
  • Publisher : Academic Press
  • Release : 03 June 2021
GET THIS BOOKRadiomics and Its Clinical Application

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in

Computational Techniques for Dental Image Analysis

Computational Techniques for Dental Image Analysis
  • Author : Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar
  • Publisher : IGI Global
  • Release : 30 October 2018
GET THIS BOOKComputational Techniques for Dental Image Analysis

With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is

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 : 04 July 2018
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

Computational Analysis of the Human Eye with Applications

Computational Analysis of the Human Eye with Applications
  • Author : Sumeet Dua,Rajendra Acharya U,E. Y. K. Ng
  • Publisher : World Scientific
  • Release : 17 May 2022
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

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 : 14 October 2015
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

Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications

Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications
  • Author : Yongjie Jessica Zhang,João Manuel R.S. Tavares
  • Publisher : Springer
  • Release : 23 July 2014
GET THIS BOOKComputational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications

This book constitutes the refereed proceedings of the 4th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014. The 29 revised full papers presented together with 10 short papers and 6 keynote talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis; image registration, denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and simulations; image recognition, reconstruction and predictive

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 : 22 November 2010
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