Full Description
This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-25), held in Solin, Croatia, on June 25-27, 2025. Covering several key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research, and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists, and anyone wishing to gain an overview of the latest research in these fields.
Contents
Clinical Feature-Guided Representation Learning on Whole Slide Images for Hepatocellular Carcinoma Recurrence Prediction.- A Teacher-student Learning Approach Using Gene and CT Images for Recurrence Prediction of Non-small Cell Lung Cancer.- Enhancing Large Language Model Efficiency with MCE (Main Content Extractor): Token Optimization and Streamlined Content Integration.- IHC Pathological Image Generation Based on Multi-Path Reversible Feature Transformation and Multi-Scale HE Staining Transfer.- Comparison of Deep Learning Architectures for Generalizable Lung Nodule Segmentation.
