Cargando…
Mitosis detection using generic features and an ensemble of cascade adaboosts
CONTEXT: Mitosis count is one of the factors that pathologists use to assess the risk of metastasis and survival of the patients, which are affected by the breast cancer. AIMS: We investigate an application of a set of generic features and an ensemble of cascade adaboosts to the automated mitosis de...
Autor principal: | Tek, F. Boray |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709431/ https://www.ncbi.nlm.nih.gov/pubmed/23858387 http://dx.doi.org/10.4103/2153-3539.112697 |
Ejemplares similares
-
Automated mitosis detection in histopathology using morphological and multi-channel statistics features
por: Irshad, Humayun
Publicado: (2013) -
Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach
por: Irshad, Humayun, et al.
Publicado: (2013) -
Obscenity Detection Using Haar-Like Features and Gentle Adaboost Classifier
por: Mustafa, Rashed, et al.
Publicado: (2014) -
AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease
por: Mahesh, T. R., et al.
Publicado: (2022) -
Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data
por: Ramakrishna, Mahesh Thyluru, et al.
Publicado: (2023)