Patent ID: 11961618
Assignee: CITY UNIVERSITY OF HONG KONG
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The task-interaction network according to claim 7, wherein the category allocation module is further configured to:
expand the predicted lesion aggressiveness to obtain a refined probability map;
transform the initial discriminative feature representation and the plurality of category prototypes to have a same channel number;
compute cosine similarity for each of the plurality of transformed category prototypes with respect to the transformed discriminative feature representation to obtain a plurality of discriminative feature similarity maps;
pass the plurality of discriminative feature similarity maps through a softmax function with a temperature T to obtain a plurality of similarity values, where T is a hyper-parameter;
compute a category-guided pixel-level feature representation for each pixel of the scan image by fusing the plurality of category prototypes using the plurality of similarity values as weights;
integrate category-guided pixel-level feature representations for all pixels of the scan image to obtain a category-guided feature representation;
concatenate the initial discriminative feature representation and the category-guided feature representation with the refined probability map to form a concatenated feature representation; and
hybridize the concatenated feature representation to form the hybrid feature representation.