Deep Learning in Medical Image Analysis: Recent Advances and Future Trends by R. Indrakumari, T. Ganesh Kumar, D. Murugan, Sherimon P.C.Requirements: .PDF reader, 10 MBOverview: The proposed book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about Deep Learning in medical image processing techniques. The post-pandemic situation […]
Deep Learning for Medical Image Analysis, 2nd Edition by S. Kevin Zhou, Hayit Greenspan, Dinggang ShenRequirements: .PDF reader, 23.5 MBOverview: This book is a detailed reference guide on Deep Learning and its applications. It aims to provide a basic understanding of Deep Learning and its different architectures that are applied to process images, speech, and […]
Reconstruction, Segmentation, and Analysis of Medical Images by Maria A. Zuluaga, Kanwal Bhatia, Bernhard Kainz, Mehdi H. Moghari, and Danielle F. PaceRequirements: Any PDF Reader, 39.91 MBOverview: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in […]
Advanced Biomedical Image Analysis by Mark Haidekker Requirements: PDF reader, 5,5 MBOverview: A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis.Medical diagnostics and intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level.Genre: NonFiction […]
Medical Image Analysis, 2nd edition by Atam P. DhawanRequirements: PDF Reader, 22 MBOverview: A new chapter on Optical Imaging Modalities elaborating microscopy, confocal microscopy, endoscopy, optical coherent tomography, fluorescence and molecular imaging will be added. Another new chapter on Simultaneous Multi-Modality Medical Imaging including CT-SPECT and CT-PET will also be added. In the image analysis […]