Explainable deep learning for skin cancer detection using swish-activated convolutional networks

Abstract Skin cancer is among the most frequent and fatal illnesses in the world, but early and correct diagnosis is one of the main challenges because of the complicated visual patterns of skin lesions and the absence of interpretable diagnostic devices. Conventional techniques are largely based on...

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Principais autores:	Subhayan Mukherjee, Khushbu Chandrakar, Subrata Chowdhury, Vijayalakshmi Senniappan, Bhaskar Roy, Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Shashi Kant
Formato:	Artigo
Idioma:	Inglês
Publicado:	Springer 2026-01-01
Series:	Discover Oncology
Assuntos:	Deep convolutional neural network (DCNN) Explainable artificial intelligence (XAI) Gradient-weighted class activation mapping (Grad-CAM) AI in Healthcare Local interpretable model-agnostic explanations (LIME)
Acceso en liña:	https://doi.org/10.1007/s12672-026-04386-6
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