2 code implementations • 11 Apr 2024 • Lucas Dedieu, Nicolas Nerrienet, Adrien Nivaggioli, Clara Simmat, Marceau Clavel, Arnaud Gauthier, Stéphane Sockeel, Rémy Peyret
Recent advancements in deep learning have proven highly effective in medical image classification, notably within histopathology.
no code implementations • 9 Mar 2023 • Adrien Nivaggioli, Nicolas Pozin, Rémy Peyret, Stéphane Sockeel, Marie Sockeel, Nicolas Nerrienet, Marceau Clavel, Clara Simmat, Catherine Miquel
We demonstrate that thanks to this selection method, an optimal feature extractor can be selected for different tasks on the target domain.
no code implementations • 8 Apr 2019 • Adrien Nivaggioli, Hicham Randrianarivo
When one wants to train a neural network to perform semantic segmentation, creating pixel-level annotations for each of the images in the database is a tedious task.
no code implementations • 27 Mar 2019 • Maxime Portaz, Hicham Randrianarivo, Adrien Nivaggioli, Estelle Maudet, Christophe Servan, Sylvain Peyronnet
Moreover, by using multilingual embeddings we ensure that words from two different languages have close descriptors and thus are attached to similar images.