most citedCombining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification

2 citations · 2 across the 2 of their papers we have counts for

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cs.CV2023

Decoupled conditional contrastive learning with variable metadata for prostate lesion detection

Camille Ruppli, Pietro Gori, Roberto Ardon +1

Early diagnosis of prostate cancer is crucial for efficient treatment. Multi-parametric Magnetic Resonance Images (mp-MRI) are widely used for lesion detection. The Prostate Imagin…

cs.CV2020★ 2 cited

Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification

Martin Charachon, Céline Hudelot, Paul-Henry Cournède +2

Explaining decisions of black-box classifiers is paramount in sensitive domains such as medical imaging since clinicians confidence is necessary for adoption. Various explanation a…