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Liver and Focal Lesion Segmentation in Multi-Sequence MRI Enhanced by Cascaded Deep Learning 

2025-04-02

Abstract excerpt

<title>Abstract</title> <p>Automatic segmentation of medical images is considered to be one of the most promising applications of deep learning models. However accurate segmentation of liver lesions in MRI remains an open problem. This study presents a cascaded deep learning approach for liver and focal lesion segmentation on multi-sequence MRI, specifically using Diffusion-Weighted Imaging (DWI) and T2-weighted...

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Literature Corpus work
17a81940-e496-500b-becc-82735e04b081
DOI
10.21203/rs.3.rs-5235140/v2
Open publication

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Liver and Focal Lesion Segmentation in Multi-Sequence MRI Enhanced by Cascaded Deep LearningDOI 10.21203/rs.3.rs-5235140/v2
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