Cargando…
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...
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: | |
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 |
Ejemplares similares
-
A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing
por: Barmpoutis, Panagiotis, et al.
Publicado: (2020) -
Vlad /
por: Fuentes, Carlos
Publicado: (2010) -
Superstring and graded Grassmannians
por: Awada, M A, et al.
Publicado: (1988) -
Grassmannians and Cluster Structures
por: Baur, Karin
Publicado: (2021) -
Grassmannian geometry of scattering amplitudes
por: Arkani-Hamed, Nima, et al.
Publicado: (2016)