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

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]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2024-10-21
DOI
https://doi.org/10.3205/24dkou408
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

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

German Medical Science (German Research Foundation)
Research Data Management Practices
article

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

article en

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]

German Medical Science (German Research Foundation)
TUM Klinikum (DE), Klinik und Poliklinik für Orthopädie, Physikalische Medizin und Rehabilitation (DE), Technical University of Munich (DE)
Openalex Percentile: Top 40%
Research Data Management Practices
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