Computational Retinal Image Analysis Book

Computational Retinal Image Analysis


  • Author : Emanuele Trucco
  • Publisher : Academic Press
  • Release Date : 2019-11-25
  • Genre: Computers
  • Pages : 502
  • ISBN 10 : 9780081028179

GET BOOK
Computational Retinal Image Analysis Excerpt :

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

Computational Pathology and Ophthalmic Medical Image Analysis Book

Computational Pathology and Ophthalmic Medical Image Analysis


  • Author : Danail Stoyanov
  • Publisher : Springer
  • Release Date : 2018-09-13
  • Genre: Computers
  • Pages : 347
  • ISBN 10 : 9783030009496

GET BOOK
Computational Pathology and Ophthalmic Medical Image Analysis Excerpt :

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 learning. The OMIA papers cover various topics in the field of ophthalmic image analysis.

Computational Analysis Of The Human Eye With Applications Book

Computational Analysis Of The Human Eye With Applications


  • Author : Sumeet Dua
  • Publisher : World Scientific
  • Release Date : 2011-04-21
  • Genre: Technology & Engineering
  • Pages : 468
  • ISBN 10 : 9789814462051

GET BOOK
Computational Analysis Of The Human Eye With Applications Excerpt :

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 observer to directly monitor subtle, yet critical details.This book is a novel and well-timed endeavor to present, in an amalgamated format, computational image modeling methods as applied to various extrinsic scientific problems in ophthalmology. It is self-contained and presents a highly comprehensive array of image modeling algorithms and methodologies relevant to ophthalmologic problems. The book is the first of its kind, bringing eye imaging and multi-dimensional hyperspectral imaging and data fusion of the human eye, into focus.The editors are at the top of their fields and bring a strong multidisciplinary synergy to this visionary volume. Their “inverted-pyramid” approach in presenting the content, and focus on core applications, will appeal to students and practitioners in the field.

Image Analysis and Recognition Book

Image Analysis and Recognition


  • Author : Fakhri Karray
  • Publisher : Springer
  • Release Date : 2017-06-19
  • Genre: Computers
  • Pages : 673
  • ISBN 10 : 9783319598765

GET BOOK
Image Analysis and Recognition Excerpt :

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 ophthalmology; remote sensing; applications.

Image Analysis and Modeling in Ophthalmology Book

Image Analysis and Modeling in Ophthalmology


  • Author : Eddie Y. K. Ng
  • Publisher : CRC Press
  • Release Date : 2014-02-11
  • Genre: Medical
  • Pages : 409
  • ISBN 10 : 9781466559387

GET BOOK
Image Analysis and Modeling in Ophthalmology Excerpt :

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 Book

Computational Analysis of the Human Eye with Applications


  • Author : Sumeet Dua
  • Publisher : World Scientific
  • Release Date : 2011
  • Genre: Technology & Engineering
  • Pages : 458
  • ISBN 10 : 9789814340298

GET BOOK
Computational Analysis of the Human Eye with Applications Excerpt :

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 observer to directly monitor subtle, yet critical details. This book is a novel and well-timed endeavor to present, in an amalgamated format, computational image modeling methods as applied to various extrinsic scientific problems in ophthalmology. It is self-contained and presents a highly comprehensive array of image modeling algorithms and methodologies relevant to ophthalmologic problems. The book is the first of its kind, bringing eye imaging and multi-dimensional hyperspectral imaging and data fusion of the human eye, into focus. The editors are at the top of their fields and bring a strong multidisciplinary synergy to this visionary volume. Their "inverted-pyramid" approach in presenting the content, and focus on core applications, will appeal to students and practitioners in the field.

Computational Techniques for Dental Image Analysis Book

Computational Techniques for Dental Image Analysis


  • Author : Kamalanand, K.
  • Publisher : IGI Global
  • Release Date : 2018-10-30
  • Genre: Medical
  • Pages : 334
  • ISBN 10 : 9781522562443

GET BOOK
Computational Techniques for Dental Image Analysis Excerpt :

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 designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.

Medical Image Understanding and Analysis Book

Medical Image Understanding and Analysis


  • Author : Bartłomiej W. Papież
  • Publisher : Springer Nature
  • Release Date : 2021-07-06
  • Genre: Computers
  • Pages : 561
  • ISBN 10 : 9783030804329

GET BOOK
Medical Image Understanding and Analysis Excerpt :

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 Book

Ophthalmic Medical Image Analysis


  • Author : Huazhu Fu
  • Publisher : Springer Nature
  • Release Date : 2021-09-21
  • Genre: Computers
  • Pages : 200
  • ISBN 10 : 9783030870003

GET BOOK
Ophthalmic Medical Image Analysis Excerpt :

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., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies. *The workshop was held virtually.

Medical Image Computing and Computer Assisted Intervention     MICCAI 2020 Book

Medical Image Computing and Computer Assisted Intervention MICCAI 2020


  • Author : Anne L. Martel
  • Publisher : Springer Nature
  • Release Date : 2020-10-02
  • Genre: Computers
  • Pages : 811
  • ISBN 10 : 9783030597221

GET BOOK
Medical Image Computing and Computer Assisted Intervention MICCAI 2020 Excerpt :

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; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

Computational Vision and Medical Image Processing V Book

Computational Vision and Medical Image Processing V


  • Author : Joao Tavares
  • Publisher : CRC Press
  • Release Date : 2015-10-14
  • Genre: Computers
  • Pages : 374
  • ISBN 10 : 9781315642796

GET BOOK
Computational Vision and Medical Image Processing V Excerpt :

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

8th International Conference on Practical Applications of Computational Biology   Bioinformatics  PACBB 2014  Book

8th International Conference on Practical Applications of Computational Biology Bioinformatics PACBB 2014


  • Author : Julio Saez-Rodriguez
  • Publisher : Springer
  • Release Date : 2014-05-21
  • Genre: Technology & Engineering
  • Pages : 294
  • ISBN 10 : 9783319075815

GET BOOK
8th International Conference on Practical Applications of Computational Biology Bioinformatics PACBB 2014 Excerpt :

Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB‘14 contributes to this effort promoting this fruitful interaction. PACBB'14 technical program included 34 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference promotes the interaction of scientists from diverse research groups and with a distinct background such as computer scientists, mathematicians or biologists.

Signal Processing and Machine Learning for Biomedical Big Data Book

Signal Processing and Machine Learning for Biomedical Big Data


  • Author : Ervin Sejdic
  • Publisher : CRC Press
  • Release Date : 2018-07-04
  • Genre: Medical
  • Pages : 606
  • ISBN 10 : 9781351061216

GET BOOK
Signal Processing and Machine Learning for Biomedical Big Data Excerpt :

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 signal processing researchers a glimpse into the issues faced with Big Medical Data.

Advances in Computer Vision and Computational Biology Book

Advances in Computer Vision and Computational Biology


  • Author : Hamid R. Arabnia
  • Publisher : Springer Nature
  • Release Date : 2021-08-05
  • Genre: Technology & Engineering
  • Pages : 915
  • ISBN 10 : 9783030710514

GET BOOK
Advances in Computer Vision and Computational Biology Excerpt :

The book presents the proceedings of four conferences: The 24th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'20), The 6th International Conference on Health Informatics and Medical Systems (HIMS'20), The 21st International Conference on Bioinformatics & Computational Biology (BIOCOMP'20), and The 6th International Conference on Biomedical Engineering and Sciences (BIOENG'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks on Image Processing, Computer Vision, & Pattern Recognition, Health Informatics & Medical Systems, Bioinformatics, Computational Biology & Biomedical Engineering; Features papers from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20.

Radiomics and Its Clinical Application Book

Radiomics and Its Clinical Application


  • Author : Jie Tian
  • Publisher : Academic Press
  • Release Date : 2021-06-03
  • Genre: Computers
  • Pages : 300
  • ISBN 10 : 9780128181027

GET BOOK
Radiomics and Its Clinical Application Excerpt :

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 the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice. An introduction to the concepts of radiomics In-depth presentation of the core technologies and methods Summary of current radiomics research, perspective on the future of radiomics and the challenges ahead An introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms