English | 2021 | ISBN: 9201330219 | 367 pages | True EPUB | 56.73 MB
Integrated cardiovascular imaging is the optimal use of multiple imaging modalities to obtain complementary information about cardiac diseases, to aid in diagnosis, determine aetiology and prognosis, with the ultimate objective of effectively guiding clinical decision making. Over the past few decades, advances in technology have contributed to the development of new imaging modalities and refinement of existing ones, leading to major improvements in the accuracy of diagnosing cardiovascular disease. While modality-centric expertise has been the primary driver of improvements in each modality, this has also contributed to imagers working in silos resulting with limited inter-modality coordination and collation of information relevant for patient care. This publication provides comprehensive guidance on the rationale and implementation of integrated cardiovascular imaging for practitioners.
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English | 2021 | ISBN: 197511700X | 900 pages | True EPUB | 175.31 MB
Written by leading fetal radiologists and maternal-fetal medicine specialists, with additional input from cardiologists, geneticists, and Doppler specialists, Fundamental and Advanced Fetal Imaging provides comprehensive, practical guidance on prenatal ultrasound and fetal MRI. This state-of-the-art 2nd Edition clearly presents the essential information you need on normal anatomy and techniques, screening of normal and abnormal conditions, and fetal malformations, helping you effectively evaluate obstetric patients and reach an accurate diagnosis for a wide variety of fetal anomalies.
Covers obstetrical ultrasound safety and bioeffects, as well as expanded information on 3T fetal imaging and MRI safety.

English | 2022 | ISBN: 0470647507 | 339 pages | True PDF | 43.43 MB
Artificial Intelligence in Digital Holographic Imaging Technical Basis and Biomedical Applications An eye-opening discussion of 3D optical sensing, imaging, analysis, and pattern recognition Artificial intelligence (AI) has made great progress in recent years. Digital holographic imaging has recently emerged as a powerful new technique well suited to explore cell structure and dynamics with a nanometric axial sensitivity and the ability to identify new cellular biomarkers. By combining digital holography with AI technology, including recent deep learning approaches, this system can achieve a record-high accuracy in non-invasive, label-free cellular phenotypic screening. It opens up a new path to data-driven diagnosis. Artificial Intelligence in Digital Holographic Imaging introduces key concepts and algorithms of AI to show how to build intelligent holographic imaging systems drawing on techniques from artificial neural networks, convolutional neural networks, and generative adversarial network. Readers will be able to gain an understanding of the basics for implementing AI in holographic imaging system designs and connecting practical biomedical questions that arise from the use of digital holography with various AI algorithms in intelligence models. What's Inside Introductory background on digital holography Key concepts of digital holographic imaging Deep-learning techniques for holographic imaging AI techniques in holographic image analysis Holographic image-classification models Automated phenotypic analysis of live cells For readers with various backgrounds, this book provides a detailed discussion of the use of intelligent holographic imaging system in biomedical fields with great potential for biomedical application.
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Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.02 GB | Duration: 1h 7m
Learn the fundamentals of medical images and how to process them for high quality and fast distribution.

Fuchsjager M Breast Imaging Diagnosis and Intervention 2022 | 38.87 MB
N/A | 453 Pages

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Year: 2019

Bhandari A Computational Imaging 2022 | 152.38 MB
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Title: Computational Imaging
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Year: 2022

MathWorks MATLAB Medical Imaging Toolbox User's Guide R2022b | 8.56 MB
English | 144 Pages

Title: Medical Imaging Toolbox User's Guide
Author: The MathWorks, Inc.
Year: 2021

Mori S Introduction to Diffusion Tensor Imaging 2007 | 17.24 MB
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Title: Introduction to Diffusion Tensor Imaging
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Year: 2005

M.D. Chowdhury, Veena, M.D. Gupta, Arun Kumar, Niranjan Khandelwal, "Diagnostic Radiology: Musculoskeletal and Breast Imaging"
English | 2012 | pages: 557 | ISBN: 9350258838 | PDF | 21,8 mb

Gupta Chowdhury, "AIIMS-MAMC-PGI Imaging Series. Diagnostic Radiology. Chest and Cardiovascular Imaging, 3/E"
English | 2010 | pages: 505 | ISBN: 8184488688 | PDF | 172,0 mb