Proceedings of 2025 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025) : Medical Imaging and Computer-Aided Diagnosis (Lecture Notes in Electrical Engineering)

Su, Ruidan (EDT)/ Zhang, Yudong (EDT)/ Frangi, Alejandro F. (EDT)

Springer Verlag, Singapore（2026/05発売）

• 製本 Hardcover:ハードカバー版
• 言語 ENG
• 商品コード 9789819574247

Full Description

This book share insights into extracting and understanding more information from medical images, which drives the need for new and innovative solutions. The combination of digital image processing and computer vision has led to the development of computer-aided diagnosis (CAD), a key tool in disease analysis. The 2025 International Conference on Medical Imaging and Computer-Aided Diagnosis warmly welcomes researchers, scholars, engineers, scientists, industry professionals, and graduate students working in these areas. It offers a platform to share ideas, encourage interdisciplinary collaboration, and promote progress in medical imaging and CAD. Through engaging formats such as poster sessions and oral presentations, participants will gain valuable insights, showcase the latest advancements, build meaningful connections, and explore future applications.

Contents

Enhancing Transfer Learning Techniques for Improved Medical Imaging.- A Comprehensive Evaluation of Bidirectional MRI-CT Generation Methods Considering Three Factors: Dataset, Model, and Training Strategy.- Symmetry-Aware Brain MRI Inpainting Using Denoising Diffusion Models.- InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography.