Cargando…
A Graph-Transformer for Whole Slide Image Classification
Deep learning is a powerful tool for whole slide image (WSI) analysis. Typically, when performing supervised deep learning, a WSI is divided into small patches, trained and the outcomes are aggregated to estimate disease grade. However, patch-based methods introduce label noise during training by as...
Autores principales: | Zheng, Yi, Gindra, Rushin H., Green, Emily J., Burks, Eric J., Betke, Margrit, Beane, Jennifer E., Kolachalama, Vijaya B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670036/ https://www.ncbi.nlm.nih.gov/pubmed/35594209 http://dx.doi.org/10.1109/TMI.2022.3176598 |
Ejemplares similares
-
Weakly supervised detection and classification of basal cell carcinoma using graph-transformer on whole slide images
por: Yacob, Filmon, et al.
Publicado: (2023) -
Author Correction: Weakly supervised detection and classification of basal cell carcinoma using graph-transformer on whole slide images
por: Yacob, Filmon, et al.
Publicado: (2023) -
Unsupervised Domain Adaptation for Classification of Histopathology Whole-Slide Images
por: Ren, Jian, et al.
Publicado: (2019) -
Automated histological classification of whole slide images of colorectal biopsy specimens
por: Yoshida, Hiroshi, et al.
Publicado: (2017) -
Deep Learning for Classification of Colorectal Polyps on Whole-slide Images
por: Korbar, Bruno, et al.
Publicado: (2017)