Cargando…
Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images
Determining the grade of colon cancer from tissue slides is a routine part of the pathological analysis. In the case of colorectal adenocarcinoma (CRA), grading is partly determined by morphology and degree of formation of glandular structures. Achieving consistency between pathologists is difficult...
Autores principales: | Awan, Ruqayya, Sirinukunwattana, Korsuk, Epstein, David, Jefferyes, Samuel, Qidwai, Uvais, Aftab, Zia, Mujeeb, Imaad, Snead, David, Rajpoot, Nasir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715083/ https://www.ncbi.nlm.nih.gov/pubmed/29203775 http://dx.doi.org/10.1038/s41598-017-16516-w |
Ejemplares similares
-
Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer
por: Sirinukunwattana, Korsuk, et al.
Publicado: (2018) -
Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics
por: Sirinukunwattana, Korsuk, et al.
Publicado: (2013) -
Robust normalization protocols for multiplexed fluorescence bioimage analysis
por: Ahmed Raza, Shan E, et al.
Publicado: (2016) -
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) -
Digital image processing: an algorithmic approach with Matlab
por: Qidwai, Uvais, et al.
Publicado: (2009)