Séminaire Image : « Research Aiming for Small-Cost Development of Medical Image Analysis Applications – Insights from a Career Bridging Clinical Practice and Research », Mitsutaka Nemoto

Nous aurons le plaisir d’écouter Mitsutaka Nemoto, Associate Professor of Kindai Univ, Japan. Il est aussi visiteur au GREYC pour un an.
Il donnera un séminaire IMAGE le jeudi 16 octobre 2025 à 14h en salle de séminaire F-200.

Titre : « Research Aiming for Small-Cost Development of Medical Image Analysis Applications – Insights from a Career Bridging Clinical Practice and Research »

Résumé : 
This seminar will present the outcomes of my works in medical image analysis AI, conducted at a university medical school, a university hospital, and a training institution for clinical engineers (a paramedical profession in Japan). The central focus or hidden theme of these works is reducing the development costs of the applications.
Key cost factors in medical image AI development include collecting clinical image data, acquiring annotation data, designing application frameworks, and implementing the systems. With the widespread adoption of (deep) supervised machine learning, the demand for large, annotated datasets has grown substantially. However, many medical institutions in Japan, particularly those of a middle or small size, lack the resources to meet these demands. Consequently, creating and providing customized AI applications trained on data aligned with each hospital’s imaging and diagnostic protocols remains a significant challenge.
This seminar will highlight my research aimed at reducing development costs, such as AI application development using unsupervised learning and self-supervised learning.