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

Published in:	Machine Learning: Science and Technology
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
Subjects:	meta-learning deep learning artificial intelligence segmentation oncology clinician stylization
Online Access:	https://doi.org/10.1088/2632-2153/adc970