Deep pixel-wise supervision for skin lesion classification.

Journal: Computers in biology and medicine

Published Date: May 20, 2025

Abstract

BACKGROUND: Utilizing automated systems for diagnosing malignant skin lesions promises to improve the early detection of skin diseases and increase patients' survival rates. However, current classification methods primarily focus on global features, often overlooking local patterns.

Authors

Aleksandra Dzieniszewska

Institute of Microelectronics and Optoelectronics, Warsaw University of Technology, Koszykowa 75, Warsaw, 00662, Masovian, Poland. Electronic address: 01113158@pw.edu.pl.
Piotr Garbat

Institute of Microelectronics and Optoelectronics, Warsaw University of Technology, Koszykowa 75, Warsaw, 00662, Masovian, Poland.
Ryszard Piramidowicz

Institute of Microelectronics and Optoelectronics, Warsaw University of Technology, Koszykowa 75, Warsaw, 00662, Masovian, Poland.

Keywords

Algorithms Databases, Factual Deep Learning Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Skin Neoplasms

External Resources

View on PubMed Access via DOI PubMed (40398263)

Deep pixel-wise supervision for skin lesion classification.

Abstract

Authors

Keywords

External Resources

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