A novel approach toward skin cancer classification through fused deep features and neutrosophic environment

A novel approach toward skin cancer classification through fused deep features and neutrosophic environment

Variations in the size and texture of melanoma make the classification procedure more complex in a computer-aided diagnostic (CAD) system. The research proposes an innovative hybrid deep learning-based layer-fusion and neutrosophic-set technique for identifying skin lesions. The off-the-shelf networ...

Full description

Bibliographic Details
Main Authors: Ahmed Abdelhafeez, Hoda K. Mohamed, Ali Maher, Nariman A. Khalil
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Public Health
Subjects:
transfer learning
fused deep features
skin cancer classification
multi-support vector machine
error-correcting output codes
single-valued neutrosophic sets
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1123581/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2023.1123581/full

Similar Items