Publication Details

Which Color Channel Is Better for Diagnosing Retinal Diseases Automatically in Color Fundus Photographs?

BISWAS Sangeeta, ROHDIN Johan A., KHAN Md. Iqbal Aziz, BISWAS Angkan, HOSSAIN Md. Tanvir and NAKAI Takayoshi. Which Color Channel Is Better for Diagnosing Retinal Diseases Automatically in Color Fundus Photographs?. Life-Basel, vol. 12, no. 7, 2022, pp. 1-38. ISSN 2075-1729. Available from: https://www.mdpi.com/2075-1729/12/7/973
Czech title
Který barevný kanál je lepší pro automatickou diagnostiku onemocnění sítnice na barevných fotografiích fundu?
Type
journal article
Language
english
Authors
Biswas Sangeeta, Ph.D. (DITS FIT BUT)
Rohdin Johan A., Dr. (DCGM FIT BUT)
Khan Md. Iqbal Aziz (RUBD)
Biswas Angkan (CAPM)
Hossain Md. Tanvir (RUBD)
Nakai Takayoshi ()
URL
Keywords

color fundus, photographs detection of retinal diseases, deep neural network, segmentation of retinal landmarks

Published
2022
Pages
1-38
Journal
Life-Basel, vol. 12, no. 7, ISSN 2075-1729
Publisher
MDPI
DOI
10.3390/life12070973
UT WoS
000831904600001
EID Scopus
2-s2.0-85133504829
BibTeX 
@ARTICLE{FITPUB12948,
   author = "Sangeeta Biswas and A. Johan Rohdin and Aziz Iqbal Md. Khan and Angkan Biswas and Tanvir Md. Hossain and Takayoshi Nakai",
   title = "Which Color Channel Is Better for Diagnosing Retinal Diseases Automatically in Color Fundus Photographs?",
   pages = "1--38",
   journal = "Life-Basel",
   volume = 12,
   number = 7,
   year = 2022,
   ISSN = "2075-1729",
   doi = "10.3390/life12070973",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12948"
}
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