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Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation

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Year: 2026
Type: article
Source: Radiology Artificial Intelligence
DOI: 10.1148/ryai.250200
Authors: Astha Jaiswal, Miriam Rinneburger, Franziska Meyer, Sita Arjune, Laura Oberlinkels, Philomena Alice Wawer Matos Reimer, Lars Lotter-Becker, Ünal Akünal, Markus Bujotzek, Stefan Denner, Klaus Maier-Hein, Leonard Stepansky, Matthias Stefan May, Markus Habert, Alexander Köhn, Mirjam Schöneck, Robert Peter Wawer Matos Reimer, Roman-Ulrich Müller, Simon Lennartz, Nils Große Hokamp, Andreas Michael Bucher, Thorsten Persigehl, Liliana Lourenco Caldeira
Institutions: University of Cologne, University Hospital Cologne, Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases, German Cancer Research Center, Heidelberg University, University Hospital Heidelberg, National Center for Tumor Diseases, Deutsches Konsortium für Translationale Krebsforschung, Universitätsklinikum Erlangen, Fraunhofer Institute for Digital Medicine, University Hospital Frankfurt
Language: English

Topic: Medical Image Segmentation Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed

Funder: Bundesministerium für Forschung und Technologie
Award: G7848810951
OpenAlex ID: W7165778472
FWCI: 3.088
Cites: 31
Cited by: 1
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