2019
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
ICCV 2019accepted
Histopathology image analysis plays a critical role in cancer diagnosis and treatment. To automatically segment the cancerous regions, fully supervised segmentation algorithms require labor-intensive and time-consuming labeling at the pixel level. In this research, we propose CAMEL, a weakly supervi…