Multi‐modality multiorgan image segmentation using continual learning with enhanced hard attention to the task

We demonstrate for the first time that eHAT effectively achieves continual learning of multi-modality, multiorgan segmentation tasks using a single DNN, with improved forgetting rates compared with HAT.

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Publication Details

Journal
Medical Physics
Published
2025-04-23
DOI
https://doi.org/10.1002/mp.17842
Primary Topic
Medical Imaging and Analysis
Type
article
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article

Multi‐modality multiorgan image segmentation using continual learning with enhanced hard attention to the task

Peng Yan, Ming‐Long Wu
Medical Physics
Medical Imaging and Analysis
article

Multi‐modality multiorgan image segmentation using continual learning with enhanced hard attention to the task

Peng Yan, Ming‐Long Wu
article en

Abstract

We demonstrate for the first time that eHAT effectively achieves continual learning of multi-modality, multiorgan segmentation tasks using a single DNN, with improved forgetting rates compared with HAT.

Medical PhysicsVol. 52(7)
National Cheng Kung University (TW)
Openalex Percentile: Top 92%
Medical Imaging and Analysis
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Multi‐modality multiorgan image segmentation using continual learning with enhanced hard attention to the task — Peng Yan, Ming‐Long Wu · Medical Physics (2025) | TGRS Research Map | TGRS