Computational Dermatology – an Automatic System for Visually Classifying Rare Wound Diseases

Introduction: While using Computer Vision (CV) to classify images of wounds is no new task [ref:1], [ref:2], rare diseases are often omitted due to scarce data. However, particularly in medical diagnostics, the most diagnostically relevant images are often those that are more difficult [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds002
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Computational Dermatology – an Automatic System for Visually Classifying Rare Wound Diseases

German Medical Science (German Research Foundation)
Cutaneous Melanoma Detection and Management
article

Computational Dermatology – an Automatic System for Visually Classifying Rare Wound Diseases

article en

Abstract

Introduction: While using Computer Vision (CV) to classify images of wounds is no new task [ref:1], [ref:2], rare diseases are often omitted due to scarce data. However, particularly in medical diagnostics, the most diagnostically relevant images are often those that are more difficult [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Technische Hochschule Augsburg (DE), University of Augsburg (DE), University of Würzburg (DE), University Hospital Augsburg (DE), Neu-Ulm University of Applied Sciences (DE), Universitätsklinikum Würzburg (DE)
Quality Education
Openalex Percentile: Top 36%
Cutaneous Melanoma Detection and Management
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