A proposed entropy-weighted gradient explainability method for CLIP-based skin lesion classification is described and compared visually to prior methods.
On pixel-wise explanations for non-linear classi- fier decisions by layer-wise relevance propagation.PloS one, 10(7):e0130140, 2015
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis
A proposed entropy-weighted gradient explainability method for CLIP-based skin lesion classification is described and compared visually to prior methods.