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

Claim 17:
18. The method according to claim 15, wherein the hybrid feature representation is generated by:
expanding the predicted lesion aggressiveness to obtain a refined probability map;
transforming the initial discriminative feature representation and the plurality of category prototypes to have a same channel number;
computing 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;
passing 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;
computing 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;
integrating category-guided pixel-level feature representations for all pixels of the scan image to obtain a category-guided feature representation;
concatenating the initial discriminative feature representation and the category-guided feature representation with the refined probability map to form a concatenated feature representation; and
hybridizing the concatenated feature representation to form the hybrid feature representation.