Martí Bonmatí, Luis; Miguel, Ana; Suárez, Amelia; Aznar, Mario; Beregi, Jean Paul; Fournier, Laure; Neri, Emanuele; Laghi, Andrea; França, Manuela; Sardanelli, Francesco; Penzkofer, Tobias; Lambin, Phillipe; Blanquer Espert, Ignacio; Menzel, Marion I.; Seymour, Karine(Frontiers Media SA, 2022-02-24)
[EN] The CHAIMELEON project aims to set up a pan-European repository of health imaging data, tools and methodologies, with the ambition to set a standard and provide resources for future AI experimentation for cancer ...
[EN] Simple Summary Tumor segmentation is a key step in oncologic imaging processing and is a time-consuming process usually performed manually by radiologists. To facilitate it, there is growing interest in applying ...
[EN] Tumor segmentation is a key step in oncologic imaging processing. We have recently developed a model to detect and segment neuroblastic tumors on MR images based on deep learning architecture nnU-Net. In this work, ...