Prior guided deep difference meta-learner for fast adaptation to stylized segmentation

Prior guided deep difference meta-learner for fast adaptation to stylized segmentation

Radiotherapy treatment planning requires segmenting anatomical structures in various styles, influenced by guidelines, protocols, preferences, or dose planning needs. Deep learning-based auto-segmentation models, trained on anatomical definitions, may not match local clinicians’ styles at new instit...

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Bibliographic Details
Main Authors: Dan Nguyen, Anjali Balagopal, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve Jiang
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
meta-learning
deep learning
artificial intelligence
segmentation
oncology
clinician stylization
Online Access:https://doi.org/10.1088/2632-2153/adc970
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https://doi.org/10.1088/2632-2153/adc970

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