An interpretable hierarchical semantic convolutional neural network to diagnose melanoma in skin lesions

An interpretable hierarchical semantic convolutional neural network to diagnose melanoma in skin lesions

Melanoma is a more dangerous skin cancer than other types of skin cancer because it rapidly spreads to other organs in its early stages. In the increasingly popular task of computer-aided diagnosis using deep learning methods, these models are difficult to interpret and often considered "black...

Full description

Bibliographic Details
Main Authors: Hui-Ching Wu, Yu-Chen Tu, Po-Han Chen, Ming-Hseng Tseng
Format: Article
Language:English
Published: AIMS Press 2023-02-01
Series:Electronic Research Archive
Subjects:
melanoma classification
skin cancer
deep learning
convolutional neural networks
model interpretability
intelligent
healthcare
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2023094?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/era.2023094?viewType=HTML

Similar Items