Bridging Accuracy and Explainability: A SHAP-Enhanced CNN for Skin Cancer Diagnosis
A SHAP-based convolutional model for skin cancer classification, with an explanation attached to each prediction.
Book chapter, 2026.
Note
Attaches SHAP attributions to a convolutional classifier for skin lesions, and evaluates whether the explanations agree with the regions a dermatologist would use.
Reference
Bridging Accuracy and Explainability: A SHAP-Enhanced CNN for Skin Cancer Diagnosis Book chapter, 2026. https://scholar.google.com/scholar?q=%22Bridging%20Accuracy%20and%20Explainability%3A%20A%20SHAP-Enhanced%20CNN%20for%20Skin%20Cancer%20Diagnosis%22
The publisher record holds the author list.
Details
- TypeBook chapter
- AreasMedical imaging and computer vision, Responsible and generative AI