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Journal of Biomedical Science and Engineering
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Journal of Biomedical Science and Engineering
ISSN Print:
1937-6871
ISSN Online:
1937-688X
www.scirp.org/journal/jbise
E-mail:
jbise@scirp.org
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"
Automated Exudates Detection in Retinal Fundus Image Using Morphological Operator and Entropy Maximization Thresholding
"
written by
G. H. Kom, B. C. Wouantsa Tindo, J. R. Mboupda Pone, A. B. Tiedeu
,
published by
Journal of Biomedical Science and Engineering
,
Vol.12 No.3, 2019
has been cited by the following article(s):
Google Scholar
CrossRef
[1]
Segmentation of blood vessels and identification of lesion in fundus image by using fractional derivative in fuzzy domain
Computational Methods and Deep Learning for …
,
2023
[2]
Textural and Statistical Feature Extraction from Segmented Hard Exudates for Diabetic Retinopathy Classification
… Technologies: Proceedings of …
,
2022
[3]
Recent Automated Hard Exudates Detection Systems in Diabetic Retinopathy
NVEO-NATURAL VOLATILES & ESSENTIAL OILS …
,
2021
[4]
DETEKSI EKSUDAT PADA CITRA RETINA MENGGUNAKAN MEAN SHIFT SEGMENTATION DAN ADAPTIVE THRESHOLDING
2020
[5]
Classification of Diabetic Retinopathy through Deep Feature Extraction and Classic Machine Learning Approach
2020
[1]
Computational Methods and Deep Learning for Ophthalmology
2023
DOI:
10.1016/B978-0-323-95415-0.00011-5
[2]
Applied Computational Technologies
Smart Innovation, Systems and Technologies
,
2022
DOI:
10.1007/978-981-19-2719-5_27
[3]
Classification of Diabetic Retinopathy through Deep Feature Extraction and Classic Machine Learning Approach
2020 3rd International Conference on Information and Communications Technology (ICOIACT)
,
2020
DOI:
10.1109/ICOIACT50329.2020.9332082
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