MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels

Semi-supervised learning (SSL) is a promising machine learning paradigm to address the ubiquitous issue of label scarcity in medical imaging. The state-of-the-art SSL methods in image classification utilise consistency regularisation to learn unlabelled predictions which are invariant to input level...

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Detalles Bibliográficos
Autores principales: Xu, Mou-Cheng, Zhou, Yukun, Jin, Chen, de Groot, Marius, Alexander, Daniel C., Oxtoby, Neil P., Jacob, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615173/
https://www.ncbi.nlm.nih.gov/pubmed/37155408
http://dx.doi.org/10.1109/TMI.2023.3273158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615173/
https://www.ncbi.nlm.nih.gov/pubmed/37155408
http://dx.doi.org/10.1109/TMI.2023.3273158

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