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Titel:

Recommender-based bone tumour classification with radiographs-a link to the past.

Dokumenttyp:
Journal Article
Autor(en):
Hinterwimmer, Florian; Serena, Ricardo Smits; Wilhelm, Nikolas; Breden, Sebastian; Consalvo, Sarah; Seidl, Fritz; Juestel, Dominik; Burgkart, Rainer H H; Woertler, Klaus; von Eisenhart-Rothe, Ruediger; Neumann, Jan; Rueckert, Daniel
Abstract:
OBJECTIVES: To develop an algorithm to link undiagnosed patients to previous patient histories based on radiographs, and simultaneous classification of multiple bone tumours to enable early and specific diagnosis. MATERIALS AND METHODS: For this retrospective study, data from 2000 to 2021 were curated from our database by two orthopaedic surgeons, a radiologist and a data scientist. Patients with complete clinical and pre-therapy radiographic data were eligible. To ensure feasibility, the ten mo...     »
Zeitschriftentitel:
European Radiology
Zeitschriftentitel:
Eur Radiol
Jahr:
2024
Volltext / DOI:
doi:10.1007/s00330-024-10672-0
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/38488971
WWW:
https://link.springer.com/article/10.1007/s00330-024-10672-0
Print-ISSN:
0938-7994
TUM Einrichtung:
Institut für Diagnostische und Interventionelle Radiologie (Prof. Makowski); Institut für KI und Informatik in der Medizin (Prof. Rückert); Lehrstuhl für Biologische Bildgebung - Zusammenarbeit mit dem Helmholtz-Zentrum München (Prof. Ntziachristos)
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