Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma

Our work underlines the value of histological images in predicting treatment outcomes and enhances our understanding of complex biological processes in aggressive, heterogeneous cancers like DLBCL.

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Publication Details

Journal
BJC Reports
Published
2025-05-20
DOI
https://doi.org/10.1038/s44276-025-00147-0
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36

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article

Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma

Reinhard Büttner, Paul Hahn, Juan I. Pisula, Katarzyna Bożek et al.
1 citations
BJC Reports
Radiomics and Machine Learning in Medical Imaging
1.36
article

Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma

Reinhard Büttner, Paul Hahn, Juan I. Pisula, Katarzyna Bożek, Hussein Naji, Stefano Ugliano, Adrian Simon
article en
1 citations

Abstract

Our work underlines the value of histological images in predicting treatment outcomes and enhances our understanding of complex biological processes in aggressive, heterogeneous cancers like DLBCL.

BJC ReportsVol. 3(1)
University of Cologne (DE), University Hospital Cologne (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen
Good health and well-being
Openalex Percentile: Top 20%
Radiomics and Machine Learning in Medical Imaging
1.36
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