Background: Convolution neural network is often superior to other similar algorithms in image classification. Convolution layer and sub-sampling layer have the function of extracting sample features, and the feature of sharing weights greatly reduces the training parameters of the network.
Objective: This paper describes the improved convolution neural network structure, including convolution layer, sub-sampling layer and full connection layer. This paper also introduces five kinds of diseases and normal eye images reflected by the blood filament of the eyeball "yan.mat" data set, convenient to use MATLAB software for calculation.
Methodsl: In this paper, we improve the structure of the classical LeNet-5 convolutional neural network, and design a network structure with different convolution kernels, different sub-sampling methods and different classifiers, and use this structure to solve the problem of ocular bloodstream disease recognition.
Results: The experimental results show that the improved convolutional neural network structure is ideal for the recognition of eye blood silk data set, which shows that the convolution neural network has the characteristics of strong classification and strong robustness. The improved structure can classify the diseases reflected by eyeball bloodstain well.
Keywords: Convolution neural network; back-propagation algorithm; image processing; self-learning.
Liu Z, Sun L, Zhang Q. Liu Z, et al. Comput Intell Neurosci. 2022 Apr 12;2022:2836486. doi: 10.1155/2022/2836486. eCollection 2022. Comput Intell Neurosci. 2022. PMID: 35449738 Free PMC article.
Qiu D, Zhang S, Liu Y, Zhu J, Zheng L. Qiu D, et al. Comput Methods Programs Biomed. 2020 Apr;187:105059. doi: 10.1016/j.cmpb.2019.105059. Epub 2019 Sep 24. Comput Methods Programs Biomed. 2020. PMID: 31582263
Chen H, Yan S, Xie M, Ye Y, Ye Y, Zhu D, Su L, Huang J. Chen H, et al. Comput Methods Programs Biomed. 2022 Mar;215:106608. doi: 10.1016/j.cmpb.2021.106608. Epub 2022 Jan 11. Comput Methods Programs Biomed. 2022. PMID: 35063713
Liang M, Zhou T, Zhang F, Yang J, Xia Y. Liang M, et al. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2018 Dec 25;35(6):977-985. doi: 10.7507/1001-5515.201710060. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2018. PMID: 30583326 Free PMC article. Review. Chinese.
Yan B, Cao M, Gong W, Wei B. Yan B, et al. Int J Comput Assist Radiol Surg. 2022 Mar;17(3):561-568. doi: 10.1007/s11548-021-02515-w. Epub 2021 Dec 11. Int J Comput Assist Radiol Surg. 2022. PMID: 34894336 Review.
Ye L, Yu F, Hu Z, Wang X, Tang Y. Ye L, et al. Sichuan Da Xue Xue Bao Yi Xue Ban. 2024 Mar 20;55(2):461-468. doi: 10.12182/20240360504. Sichuan Da Xue Xue Bao Yi Xue Ban. 2024. PMID: 38645857 Free PMC article. Chinese.
Deng Y, Chen Y, Xie L, Wang L, Zhan J. Deng Y, et al. Front Oncol. 2022 Oct 27;12:1001840. doi: 10.3389/fonc.2022.1001840. eCollection 2022. Front Oncol. 2022. PMID: 36387178 Free PMC article.
Hao X, Xu L, Liu Y, Luo C, Yin Y, Chen X, Tao X. Hao X, et al. Comput Math Methods Med. 2022 Jul 25;2022:4007925. doi: 10.1155/2022/4007925. eCollection 2022. Comput Math Methods Med. 2022. PMID: 35924108 Free PMC article.
Ma H, Wang L, Chen Y, Tian L. Ma H, et al. Saudi J Gastroenterol. 2022 Sep-Oct;28(5):332-340. doi: 10.4103/sjg.sjg_178_22. Saudi J Gastroenterol. 2022. PMID: 35848703 Free PMC article. Review.
Chen D, Bian L, He HY, Li YD, Ma C, Mao LG. Chen D, et al. Comput Math Methods Med. 2022 Jun 28;2022:3830245. doi: 10.1155/2022/3830245. eCollection 2022. Comput Math Methods Med. 2022. PMID: 35799650 Free PMC article.