Détection et description de points clés par apprentissage
Nicolas Loiseau--Witon · HAL (Le Centre pour la Communication Scientifique Directe) · 2023
Hospitals are increasingly generating 3D medical images that require automatic registration for systematic and large-scale analysis. Key points are used to reduce the time and memory required for this registration, and can be detected and described using various classical methods, as well as neural networks, as demonstrated numerous times in 2D. This thesis presents results and discussions on methods for detecting and describing key points using 3D neural networks. Two types of networks were studied to detect and/or describe characteristic points in 3D medical images. The first networks studied describe the areas directly surrounding key points, while the second type performs both detection and description of key points in a single step.