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

Su Ruidan (Editor), Yu-Dong Zhang, Alejandro F Frangi (Editor)

Research output: Book/ReportBook

Abstract

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, humancomputer interaction, databases, and performance evaluation
Original languageEnglish
Place of PublicationSingapore
PublisherSpringer London
Number of pages406
ISBN (Print)9819713358, 981971334X, 9789819713349, 9789819713356
Publication statusPublished - 6 Mar 2024

Publication series

NameLecture Notes in Electrical Engineering Series
Volumevolume 1166

Keywords

  • Diagnostics
  • Diagnostic imaging
  • Diagnosis
  • Imagerie pour le diagnostic

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