Guoqing Bao

Guoqing Bao

Senior staff researcher at Enflame Technology, obtained PhD in Artificial Intelligence & Image Processing from School of Computer Science, University of Sydney. Currently doing research in AI framework optimization & computer vision. Before his oversea study in Australia, he had worked as a senior software engineer in Beijing (e.g., iQiYi.com) from 2008 to 2016.

Multi-task deep learning for medical image computing and analysis: A review

Published in Computers in Biology and Medicine, 2023

Recommended citation: Yan Zhao, Xiuying Wang, Tongtong Che, Guoqing Bao, and Shuyu Li. 2023. Multi-task deep learning for medical image computing and analysis: A review. Comput. Biol. Med. 153, C (Feb 2023). https://doi.org/10.1016/j.compbiomed.2022.106496 https://dl.acm.org/doi/abs/10.1016/j.compbiomed.2022.106496

This review focuses on the advanced applications of multitask deep learning (MTDL) for medical image computing and analysis. We first summarize four popular MTDL network architectures (i.e., cascaded, parallel, interacted, and hybrid). Then, we review the representative MTDL-based networks for eight application areas, including the brain, eye, chest, cardiac, abdomen, musculoskeletal, pathology, and other human body regions.

Corresponding full-text paper from ACM: https://dl.acm.org/doi/abs/10.1016/j.compbiomed.2022.106496