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Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) : medical imaging and computer-aided diagnosis

Frangi, Alejandro F.(Edited by)Su, Ruidan(Edited by)Zhang, Yu-Dong(Edited by)
Part of the Lecture Notes in Electrical Engineering series
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This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike.

In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging.

This book includes the state-of-the-art research of computer-aided diagnosis systems with aritificial intelligence. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.

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Product Details
SPRINGER NATURE
981971334X / 9789819713349
Hardback
06/03/2024
Singapore
English
406 pages : illustrations (black and white, and colour)
24 cm