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Prognosis prediction and risk stratification in head and neck cancer
  • Language: en
  • Pages: 698
Digital Pathology
  • Language: en
  • Pages: 192

Digital Pathology

  • Type: Book
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  • Published: 2019-07-03
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 15th European Congress on Digital Pathology, ECDP 2019, held in Warwick, UK in April 2019. The 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between research, development, and clinical uptake.

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010
  • Language: en
  • Pages: 751

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010

The three-volume set LNCS 6361, 6362 and 6363 constitutes the refereed proceedings of the 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, held in Beijing, China, in September 2010. Based on rigorous peer reviews, the program committee carefully selected 251 revised papers from 786 submissions for presentation in three volumes. The first volume includes 84 papers organized in topical sections on computer-aided diagnosis, planning and guidance of interventions, image segmentation, image reconstruction and restoration, functional and diffusion-weighted MRI, modeling and simulation, instrument and patient localization and tracking, quantitative image analysis, image registration, computational and interventional cardiology, and diffusion tensor MR imaging and analysis.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008
  • Language: en
  • Pages: 1111

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008

  • Type: Book
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  • Published: 2008-10-30
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  • Publisher: Springer

The 11th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2008, was held at the Helen and Martin Kimmel Center of New York University, New York City, USA on September 6–10, 2008. MICCAI is the premier international conference in this domain, with - depth papers on the multidisciplinary ?elds of biomedical image computing and analysis, computer assisted intervention and medical robotics. The conference brings together biological scientists, clinicians, computer scientists, engineers, mathematicians, physicists and other interested researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The conference is both ver...

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008
  • Language: en
  • Pages: 1136

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008

Annotation The two-volume set LNCS 5241 and LNCS 5242 constitute the refereed proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, held in New York, NY, USA, in September 2008.The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer reviews. The first volume includes 127 papers related to medical image computing, segmentation, shape and statistics analysis, modeling, motion tracking and compensation, as well as registration. The second volume contains 131 contributions related to robotics and interventions, statistical analysis, segmentation, intervention, modeling, and registration.

Artificial Intelligence Technologies for Computational Biology
  • Language: en
  • Pages: 345

Artificial Intelligence Technologies for Computational Biology

  • Type: Book
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  • Published: 2022-11-10
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  • Publisher: CRC Press

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic ...

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
  • Language: en
  • Pages: 990

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

  • Type: Book
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  • Published: 2007-10-12
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  • Publisher: Springer

This title is part of a two-volume set that constitute the refereed proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007. Coverage in this second volume includes computer assisted intervention and robotics, visualization and interaction, neuroscience image computing, computational anatomy, innovative clinical and biological applications, general biological imaging computing, computational physiology.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006
  • Language: en
  • Pages: 981

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

  • Type: Book
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  • Published: 2006-09-29
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  • Publisher: Springer

The two-volume set LNCS 4190 and LNCS 4191 constitute the refereed proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006. The program committee carefully selected 39 revised full papers and 193 revised poster papers for presentation in two volumes. This second volume collects 118 papers related to segmentation, validation and quantitative image analysis, brain image processing, and much more.

Deep Learning for Biomedical Data Analysis
  • Language: en
  • Pages: 358

Deep Learning for Biomedical Data Analysis

This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (...