Work

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

Year: 2025

Type: conference-paper

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]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds002

Authors: Hieber, Daniel, Dege, Tassilo, Borst, Vanessa, Liesche-Starnecker, Friederike, Schobel, Johannes, Pryss, Rüdiger, Glatzel, Caroline, Kramer, Frank, Schmieder, Astrid, Müller, Dominik

Institutions: University of Augsburg, Neu-Ulm University of Applied Sciences, Universitätsklinikum Würzburg, University of Würzburg, University Hospital Augsburg

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103892239

FWCI:

Cites:

Cited by:

Related to: