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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.…
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…