SEISMS

Short Description

This project seeks to enhance medical imaging segmentation by aggregating diverse, annotated datasets and evaluating current tools to build a comprehensive national collection. It will develop an optimized, universally applicable segmentation solution through collaborative tool validation. Its novelty lies in: i) establishing and sharing enriched image databases to improve segmentation techniques, ii) integrating these methods with clinical workflows for real-time expert feedback, and iii) applying findings to physiological studies and nutritional intervention monitoring. The project fills gaps in existing databases, leverages innovative deep learning segmentation methods, and introduces a unique web tool for clinical application.