Publications (4)
Weakly supervised multiple instance learning histopathological tumor segmentation
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe +7
Histopathological image segmentation is a challenging and important topic in medical imaging with tremendous potential impact in clinical practice. State of the art methods rely on…
Checkpoint/restart approaches for a thread-based MPI runtime
Julien Adam, Maxime Kermarquer, Jean-Baptiste Besnard +6
Fault-tolerance has always been an important topic when it comes to running massively parallel programs at scale. Statistically, hardware and software failures are expected to occu…
Multicenter automatic detection of invasive carcinoma on breast whole slide images
Rémy Peyret, Nicolas Pozin, Stéphane Sockeel +10
Breast cancer is one of the most prevalent cancers worldwide and pathologists are closely involved in establishing a diagnosis. Tools to assist in making a diagnosis are required t…
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov, Loic Le Folgoc, Julien Adam +4
Multiple Instance Learning (MIL) has emerged as the best solution for Whole Slide Image (WSI) classification. It consists of dividing each slide into patches, which are treated as…