1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions
Penghua Zhai, Enwei Zhu, Baolian Qi +2
Computed tomography (CT) samples with pathological annotations are difficult to obtain. As a result, the computer-aided diagnosis (CAD) algorithms are trained on small datasets (e.…
eess.IV2022★ 1 cited
Deep 3D Vessel Segmentation based on Cross Transformer Network
Chengwei Pan, Baolian Qi, Gangming Zhao +4
The coronary microvascular disease poses a great threat to human health. Computer-aided analysis/diagnosis systems help physicians intervene in the disease at early stages, where 3…
cs.CV2022
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance
Chengwei Pan, Gangming Zhao, Junjie Fang +6
Although deep learning algorithms have been intensively developed for computer-aided tuberculosis diagnosis (CTD), they mainly depend on carefully annotated datasets, leading to mu…