Grading of invasive breast carcinoma through Grassmannian VLAD encoding

In this paper we address the problem of automated grading of invasive breast carcinoma through the encoding of histological images as VLAD (Vector of Locally Aggregated Descriptors) representations on the Grassmann manifold. The proposed method considers each image as a set of multidimensional spati...

Descripción completa

Detalles Bibliográficos
Autores principales: Dimitropoulos, Kosmas, Barmpoutis, Panagiotis, Zioga, Christina, Kamas, Athanasios, Patsiaoura, Kalliopi, Grammalidis, Nikos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608317/
https://www.ncbi.nlm.nih.gov/pubmed/28934283
http://dx.doi.org/10.1371/journal.pone.0185110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608317/
https://www.ncbi.nlm.nih.gov/pubmed/28934283
http://dx.doi.org/10.1371/journal.pone.0185110

Ejemplares similares