Cargando…
Deep learning based registration of serial whole-slide histopathology images in different stains
For routine pathology diagnosis and imaging-based biomedical research, Whole-slide image (WSI) analyses have been largely limited to a 2D tissue image space. For a more definitive tissue representation to support fine-resolution spatial and integrative analyses, it is critical to extend such tissue-...
Autores principales: | Roy, Mousumi, Wang, Fusheng, Teodoro, George, Bhattarai, Shristi, Bhargava, Mahak, Rekha, T. Subbanna, Aneja, Ritu, Kong, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193019/ https://www.ncbi.nlm.nih.gov/pubmed/37214150 http://dx.doi.org/10.1016/j.jpi.2023.100311 |
Ejemplares similares
-
Hyper-Stain Inspector: A Framework for Robust Registration and Localised Co-Expression Analysis of Multiple Whole-Slide Images of Serial Histology Sections
por: Trahearn, Nicholas, et al.
Publicado: (2017) -
A High-Performance System for Robust Stain Normalization of Whole-Slide Images in Histopathology
por: Anghel, Andreea, et al.
Publicado: (2019) -
Robust hierarchical density estimation and regression for re-stained histological whole slide image co-registration
por: Jiang, Jun, et al.
Publicado: (2019) -
Integrating morphologic and molecular histopathological features through whole slide image registration and deep learning
por: Faust, Kevin, et al.
Publicado: (2022) -
Mapping stain distribution in pathology slides using whole slide imaging
por: Yeh, Fang-Cheng, et al.
Publicado: (2014)