Weakly supervised multiple instance learning histopathological tumor segmentation

10 Apr 2020Marvin LerousseauMaria VakalopoulouMarion ClasseJulien AdamEnzo BattistellaAlexandre CarréThéo EstienneThéophraste HenryEric DeutschNikos Paragios

Histopathological image segmentation is a challenging and important topic in medical imaging with tremendous potential impact in clinical practice. State of the art methods relying on hand-crafted annotations that reduce the scope of the solutions since digital histology suffers from standardization and samples differ significantly between cancer phenotypes... (read more)

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