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Yingna CHEN

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

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Scholarly Papers (1)

1.

Supervised Contrastive Loss Helps Uncover More Robust Features for Photoacoustic Prostate Cancer Identification

Number of pages: 17 Posted: 09 Oct 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Huazhong University of Science and Technology - Tongji Hospital, Huazhong University of Science and Technology - Tongji Hospital and Tongji University - Institute of Acoustics
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Abstract:

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Supervised contrastive learning, Photoacoustic spectral analysis, Prostate cancer, Robust feature, CNN