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Zhigang Song

1 accepted papers

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…