A Point-Neighborhood Learning Framework for Nasal Endoscope Image
Segmentation
A Point-Neighborhood Learning Framework for Nasal Endoscope Image
Segmentation
The lesion segmentation on endoscopic images is challenging due to its complex and ambiguous features. Fully-supervised deep learning segmentation methods can receive good performance based on entirely pixel-level labeled dataset but greatly increase experts' labeling burden. Semi-supervised and weakly supervised methods can ease labeling burden, but heavily strengthen the learning …