Image classification of human carcinoma cells using complex wavelet-based covariance descriptors.
Cancer cell lines are widely used for research purposes in laboratories all over the world. Computer-assisted classification of cancer cells can alleviate the burden of manual labeling and help cancer research. In this paper, we present a novel computerized method for cancer cell line image classifi...
Enregistré dans:
Auteurs principaux: | Furkan Keskin, Alexander Suhre, Kivanc Kose, Tulin Ersahin, A Enis Cetin, Rengul Cetin-Atalay |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2013
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/c697cb1560cb4c549b36454835c89f65 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A Modified HSIFT Descriptor for Medical Image Classification of Anatomy Objects
par: Sumeer Ahmad Khan, et autres
Publié: (2021) -
Smart markers for watershed-based cell segmentation.
par: Can Fahrettin Koyuncu, et autres
Publié: (2012) -
Bayesian learning of chemisorption for bridging the complexity of electronic descriptors
par: Siwen Wang, et autres
Publié: (2020) -
Development of a novel zebrafish xenograft model in ache mutants using liver cancer cell lines
par: M. Ender Avci, et autres
Publié: (2018) -
Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification
par: Qin Qin, et autres
Publié: (2017)