3 Papers
8 Citations
Kun Wu is an academic researcher from Taiyuan University of Technology. The author has contributed to research in topics: Deep learning & Supervised learning. The author has an hindex of 2, co-authored 3 publications.
Chat about Author
Papers
Integrate domain knowledge in training multi-task cascade deep learning model for benign–malignant thyroid nodule classification on ultrasound images
Wenkai Yang,Yunyun Dong,Qianqian Du,Yan Qiang,Kun Wu,Juanjuan Zhao,Xiaotang Yang,Muhammad Bilal Zia +7 more
TL;DR: A multi-task cascade deep learning model was proposed, which integrates radiologists’ various domain knowledge and uses multimodal ultrasound images for automatic diagnosis of thyroid nodules and suggests that the MCDLM model can achieve almost the same classification performance as the fully supervised learning.
56
Image synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networks
TL;DR: The contrast conversion of T1 and T2 in MRI is validated, which can help to shorten the imaging time, improve the imaging quality, and effectively assist doctors with diagnoses.
14
Region-wise Ranking for One-Day International (ODI) Cricket Teams
TL;DR: The proposed method considers not only the number of region-wise wins and losses but also incorporates the region- wise strength and weakness of a team while assigning them the ranking score.