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Deep learning-based bone tumour detection in children – a preliminary study from the KIDS project

Year: 2024

Type: conference-paper

Abstract: Objectives: The KIDS (“Künstliche Intelligenz zur Diagnostik von Sarkomen bei Kindern”) project aims, among others goals, to address a significant challenge in pediatric oncology: the early detection of benign, intermediate and malignant bone tumours in children with x-ray imaging. [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/24dkou408

Authors: Hinterwimmer, Florian, Curto Vilalta, Anna, Schlossmacher, Benjamin, Breden, Sebastian, Seidl, Fritz, Pohlig, Florian, Rückert, Daniel, von Eisenhart-Rothe, Rüdiger, Consalvo, Sarah

Institutions: TUM Klinikum, Technical University of Munich

Language: English

Topic: Bone Tumor Diagnosis and Treatments

Subfield: Rheumatology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6946166265

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