Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework

This proposed segmentation framework has shown to significantly improve auto-segmentation, particularly for CTVs, in cancer radiotherapy.

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Publication Details

Journal
Machine Learning Science and Technology
Published
2025-02-06
DOI
https://doi.org/10.1088/2632-2153/adb371
Citations
1
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
2.48
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article

Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework

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1 citations
Machine Learning Science and Technology
AI in cancer detection
2.48
article

Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework

Hengrui Zhao, Darshana Mistry, Daniel Yang, Dan Nguyen, Jing Wang, Steve Jiang
article en
1 citations

Abstract

This proposed segmentation framework has shown to significantly improve auto-segmentation, particularly for CTVs, in cancer radiotherapy.

Machine Learning Science and TechnologyVol. 6(1)
The University of Texas Southwestern Medical Center (US)
Openalex Percentile: Top 12%
AI in cancer detection
2.48
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