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Deep learning for medical image synthesis: Improving AI-based knee osteoarthritis diagnosis

Year: 2025

Type: conference-paper

Abstract: Objectives and questions: Deep learning (DL) is increasingly used in medical diagnosis and prognosis. However, medical datasets often suffer from class imbalance and limited availability due to privacy concerns, regulatory constraints, data heterogeneity, annotation challenges, bias, and legal risks, [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25dkou519

Authors: Smits Serena, Ricardo, Valle, Christina, Lazic, Igor, Neumann, Jan, Marka, Alexander, von Eisenhart-Rothe, Rüdiger, Rueckert, Daniel, Hinterwimmer, Florian

Institutions: TUM Klinikum, Technical University of Munich

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103138922

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