Multiple Lesions Detection of Fundus Images Based on CNN Algorithm Optimized by Single Population Frog-Leaping Algorithm

Multiple Lesions Detection of Fundus Images Based on CNN Algorithm Optimized by Single Population Frog-Leaping Algorithm

In order to effectively solve the problem of interlaced overlap in the fundus image lesions, large and small blood vessels and severely affected by light, and to achieve multi-label classification of fundus images, in this paper, a single population frog-leaping optimization convolutional neural net...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: REN Longjie, SUN Ying, DING Weiping, JU Hengrong, CAO Jinxin
Aineistotyyppi: Artikkeli
Kieli:zho
Julkaistu: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-09-01
Sarja:Jisuanji kexue yu tansuo
Aiheet:
shuffled frog leaping algorithm (sfla)
convolutional neural networks (cnn)
fundus image
detection of multiple lesions
weight optimization
Linkit:http://fcst.ceaj.org/CN/abstract/abstract2888.shtml

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