Image Preprocessing in Classification and Identification of Diabetic Eye Diseases

Diabetic eye disease (DED) is a cluster of eye problem that affects diabetic patients. Identifying DED is a crucial activity in retinal fundus images because early diagnosis and treatment can eventually minimize the risk of visual impairment. The retinal fundus image plays a significant role in earl...

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Vydáno v:	Data Science and Engineering Ročník 6; číslo 4; s. 455 - 471
Hlavní autoři:	Sarki, Rubina, Ahmed, Khandakar, Wang, Hua, Zhang, Yanchun, Ma, Jiangang, Wang, Kate
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Singapore 01.12.2021 Springer Springer Nature B.V
Témata:	Algorithm Analysis and Problem Complexity Artificial Intelligence Artificial neural networks Cable television broadcasting industry Chemistry and Earth Sciences Classification Computer Science Data Mining and Knowledge Discovery Database Management Diabetes Diabetics Diagnosis Eye diseases Geometric transformation Image classification Image enhancement Image processing Image quality Image segmentation Medical imaging Medical imaging equipment Neural networks Physics Statistics for Engineering Systems and Data Security United States Image processing Convolution neural network Diabetic eye disease
ISSN:	2364-1185, 2364-1541, 2364-1541
On-line přístup:	Získat plný text
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