Zhejiang Institute of Freshwater Fisheries, Huzhou, Zhejiang 313001, China.
J Healthc Eng. 2021 Nov 25;2021:5269169. doi: 10.1155/2021/5269169. eCollection 2021.
To study the application of medical image recognition technology based on backpropagation neural network (BPNN) in the effect of soybean meal replacing fish meal on intestinal microbial diversity of and to evaluate the application value of this intelligent algorithm, was fed with different contents of soybean meal instead of fish meal.
After intestinal samples were collected and bacteria were isolated, microscopic imaging was performed, and the images were classified and identified. BPNN was constructed to perform denoising, smoothing, and segmentation.
After BPNN processing, the bacteria were completely separated from the original image background, and the bacteria was in the closed state, which was beneficial to feature extraction and species recognition. If there were 2 hidden layer nodes, the segmentation accuracy of bacterial microscopic images was the highest, up to 97.3%. With the replacement ratio of fish meal increased, the species of intestinal microbiome gradually enriched, and the relative abundance of intestinal microbiome was higher after fish meal was completely replaced by soybean meal (replacement). The intestinal microbial enzyme activities were affected by different fish meal and soybean meal contents in the diet. The glutamate transaminase and adenosine deaminase activities were increased after the replacement and were higher than those before the replacement, with statistically significant differences ( < 0.05).
Replacement of fish meal with soybean meal has a significant effect on the intestinal flora diversity of , and there is a close relationship between them. The image recognition technology based on BPNN has high recognition rate and segmentation accuracy for microbiological microscopic images.
研究基于反向传播神经网络（BPNN）的医学图像识别技术在豆粕替代鱼粉对草鱼肠道微生物多样性影响中的应用，并评价该智能算法的应用价值，采用不同含量的豆粕替代鱼粉进行投喂。
采集肠道样本并分离细菌，进行显微成像，对图像进行分类识别，构建 BPNN 进行去噪、平滑和分割。
BPNN 处理后，细菌完全从原始图像背景中分离出来，细菌呈封闭状态，有利于特征提取和种类识别，当隐藏层节点数为 2 个时，细菌显微图像的分割准确率最高，达到 97.3%。随着鱼粉替代率的增加，肠道微生物菌群逐渐丰富，完全用豆粕替代鱼粉后肠道微生物的相对丰度更高（替代）。不同饲料中鱼粉和豆粕含量的变化影响肠道微生物酶活性，替代后谷氨酸转氨酶和腺苷脱氨酶活性升高，与替代前相比差异有统计学意义（<0.05）。
用豆粕替代鱼粉对草鱼肠道菌群多样性有显著影响，二者之间存在密切关系。基于 BPNN 的图像识别技术对微生物显微图像具有较高的识别率和分割精度。
