Hierarchical Cross-Consistency Network Based Unsupervised Domain Adaptation for Pathology Whole Slide Image Segmentation

<italic>Goal:</italic> Pathology images collected from different hospitals often have large appearance variability causedby different scanners, patients, or hospital protocols. Deep learning-based pathology segmentation models are highly dependent on the distribution of training data. Therefore, the...

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Detalles Bibliográficos

Principais autores:	Chien-Yu Chiou, Wei-Li Chen, Chun-Rong Huang, Yang C. Fann, Lawrence L. Latour, Pau-Choo Chung
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2025-01-01
Series:	IEEE Open Journal of Engineering in Medicine and Biology
Assuntos:	Consistency regularization pathology image analysis semantic segmentation unsupervised domain adaptation
Acceso en liña:	https://ieeexplore.ieee.org/document/11215652/
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