Article

MRICombo: a deep-learning-based framework for universal volume segmentation, grading-staging, and malignancy detection across heterogeneous MRI

2025-11-25

Abstract excerpt

<title>Abstract</title> <p>Comprehensive magnetic resonance imaging (MRI) analysis in oncology involves multiple interrelated tasks including volumetric segmentation, grading, staging, and malignancy detection. However, most existing deep learning models are task-specific or sequence-specific, lacking the generalizability required for heterogeneous sequences. Here we present MRICombo, a unified multi-expert deep...

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Literature Corpus work: b41094a6-b0a6-54de-9c66-18eb0389b4b6
DOI: 10.21203/rs.3.rs-8096445/v1

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