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

Claim 0:
1. A task-interaction network (TI-Net) for jointly performing a segmentation task to locate prostate cancer areas and a classification task to assess aggressiveness of lesions based on a multi parametric-magnetic resonance imaging (mp-MRI) scan image in terms of a plurality of defined categories, the TI-Net comprising:
a backbone network configured to extract an initial discriminative feature representation from a pair of aligned and concatenated first and second type MRI slices of the mp-MRI scan image;
an auxiliary segmentation branch configured to generate an initial probability map and predict an initial lesion mask based on the initial discriminative feature representation;
a classification branch configured to determine a plurality of category prototypes corresponding to the plurality of defined categories respectively and predict a lesion aggressiveness based on the initial discriminative feature representation, the plurality of category prototypes and the initial lesion mask; and
a main segmentation branch configured to predict a lesion location based on the initial discriminative feature representation, the plurality of category prototypes and the predicted lesion aggressiveness.