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. Th...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Chien-Yu Chiou, Wei-Li Chen, Chun-Rong Huang, Yang C. Fann, Lawrence L. Latour, Pau-Choo Chung
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2025-01-01
Sarja:IEEE Open Journal of Engineering in Medicine and Biology
Aiheet:
Consistency regularization
pathology image analysis
semantic segmentation
unsupervised domain adaptation
Linkit:https://ieeexplore.ieee.org/document/11215652/
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia