Patent ID: 11935279
Assignee: GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 6:
7. The weakly supervised pathological image tissue segmentation method based on the online noise suppression strategy according to claim 1, wherein taking the prediction result of the semantic segmentation network after the training as the final segmentation result comprises:
using an overlapping sliding window prediction operation under a preset magnification of the H&E stained graph, intercepting image blocks with a same pixel size, and obtaining a overlapping rate of the image blocks, sending the image blocks into the semantic segmentation network after the training to obtain probability maps of several channels, stitching the probability maps into a WSI level, calculating an average value of each category prediction probability of each pixel position for overlapping regions, and acquiring a WSI segmentation result through an argmax operation;
segmenting the probability maps stitched as the WSI level by a threshold segmentation method when a background region is segmented, and setting points with gray scale pixel values greater than a preset value as fixed values to obtain a gray scale map; and
adding the gray scale map to the WSI segmentation result to obtain the final segmentation result.