Multi-task joint learning network based on adaptive patch pruning for Alzheimer's disease diagnosis and clinical score prediction

Fangyu Liu, Shizhong Yuan, Weimin Li, Qun Xu, Xing Wu, Ke Han, Jingchao Wang, Shang Miao

Abstract: Highlights•Image patch pruning algorithm prunes information-poor local patches.•Reciprocity of categorical and scoring variables contributed to multitask prediction.•Multi-task weighted loss makes subjects with incomplete clinical scores available.•Hybrid fusion of fine-grained image features and coarse-grained non-image features.•Multi-modal features can model subjects more comprehensively.