The invention discloses a gastric cancer pathological image canceration region segmentation method based on deep learning, which realizes complete segmentation of a gastric cancer canceration region and can greatly reduce the labeling time of professional doctors. Firstly, a data set is effectively expanded by utilizing a data enhancement technology; then adopting the semantic segmentation networkfor semantic segmentation of encoding-decoding, and adopting a new loss calculation mode, thus the problem that the network cannot converge when partial annotation data is used for training the network is solved, and accurate segmentation of all canceration areas is achieved in combination with an iterative training strategy.
Gastric cancer pathology image canceration region segmentation method based on deep learning