Derm7pt
PulseAugur coverage of Derm7pt — every cluster mentioning Derm7pt across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI model for skin cancer classification improved with robust data augmentation
Researchers have explored data augmentation techniques to enhance the robustness of dermoscopic skin lesion classifiers against domain shifts. Their study, utilizing a ConvNeXt-Large backbone and the ISIC Archive with D…
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New Graph-based Model Enhances Visual Explanation Interpretability
Researchers have developed a Graph-based Concept Bottleneck Model (G-CBM) that enhances interpretability in visual explanations. This new framework performs unsupervised concept discovery using Non-negative Matrix Facto…
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New CMML Framework Enhances Medical Diagnosis with Missing Data
Researchers have developed a new framework called Context-driven Missing-Modality Learning (CMML) to improve medical diagnosis accuracy when certain data modalities are absent. CMML utilizes a Cascade Residual Transform…
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Researchers identify concept inconsistency in dermoscopic models, impacting accuracy.
Researchers have identified significant concept-level inconsistencies within the Derm7pt dermoscopy dataset, which limit the accuracy of Concept Bottleneck Models (CBMs). By applying rough set theory, they found that 16…