Supervised contrastive loss helps uncover more robust features for photoacoustic prostate cancer identification
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Background: Photoacoustic spectral analysis has been demonstrated to be efficacious in the diagnosis of prostate cancer (PCa). With the incorporation of deep learning, its discrimination accuracy is progressively enhancing. Never... ...
