Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks

Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks

In recent years, interest in applying deep learning (DL) to medical diagnosis has rapidly increased, driven primarily by the development of Convolutional Neural Networks and Transformers. Despite advancements in DL, the automated diagnosis of skin cancer remains a significant challenge. Emulating de...

Full description

Saved in:
Bibliographic Details
Main Authors: Matheus B. Rocha, Sebastiao Pratavieira, Renan Souza Vieira, Juliana Duarte Geller, Amanda Lima Mutz Stein, Fernanda Sales Soares de Oliveira, Tania R.P. Canuto, Luciana de Paula Vieira, Renan Rossoni, Maria C.S. Santos, Patricia H.L. Frasson, Renato A. Krohling
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Photodiagnosis and Photodynamic Therapy
Subjects:
Skin cancer detection
Fluorescence imaging
Deep learning
Smartphone-based imaging
Clinical images
Online Access:http://www.sciencedirect.com/science/article/pii/S1572100024004988
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S1572100024004988

Similar Items