Marbling-Net: A Novel Intelligent Framework for Pork Marbling Segmentation Using Images from Smartphones
文献类型： 外文期刊
作者： Zhang, Shufeng 1 ; Chen, Yuxi 1 ; Liu, Weizhen 1 ; Liu, Bang 3 ; Zhou, Xiang 3 ;
作者机构： 1.Wuhan Univ Technol, Sch Comp Sci & Artificial Intelligence, Wuhan 430070, Peoples R China
2.Wuhan Univ Technol, Sanya Sci & Educ Innovat Pk, Sanya 572000, Peoples R China
3.Huazhong Agr Univ, Coll Anim Sci & Technol, Key Lab Agr Anim Genet Breeding & Reprod, Minist Educ, Wuhan 430070, Peoples R China
4.Hubei Hongshan Lab, Wuhan 430070, Peoples R China
5.Huazhong Agr Univ, Shenzhen Inst Nutr & Hlth, Wuhan 430070, Peoples R China
6.Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Shenzhen Branch, Genome Anal Lab,Guangdong Lab Lingnan Modern Agr,M, Shenzhen 518038, Peoples R China
关键词： pork marbling; pork quality evaluation; image segmentation; patch-based training; context encoder network
期刊名称：SENSORS （ 影响因子：3.9； 五年影响因子：4.1 ）
ISSN：
年卷期： 2023 年 23 卷 11 期
页码：
收录情况： SCI
摘要： Marbling characteristics are important traits for the genetic improvement of pork quality. Accurate marbling segmentation is the prerequisite for the quantification of these traits. However, the marbling targets are small and thin with dissimilar sizes and shapes and scattered in pork, complicating the segmentation task. Here, we proposed a deep learning-based pipeline, a shallow context encoder network (Marbling-Net) with the usage of patch-based training strategy and image up-sampling to accurately segment marbling regions from images of pork longissimus dorsi (LD) collected by smartphones. A total of 173 images of pork LD were acquired from different pigs and released as a pixel-wise annotation marbling dataset, the pork marbling dataset 2023 (PMD2023). The proposed pipeline achieved an IoU of 76.8%, a precision of 87.8%, a recall of 86.0%, and an F1-score of 86.9% on PMD2023, outperforming the state-of-art counterparts. The marbling ratios in 100 images of pork LD are highly correlated with marbling scores and intramuscular fat content measured by the spectrometer method (R-2 = 0.884 and 0.733, respectively), demonstrating the reliability of our method. The trained model could be deployed in mobile platforms to accurately quantify pork marbling characteristics, benefiting the pork quality breeding and meat industry.
- 相关文献
作者其他论文 更多>>
-
SIMER: an accurate and intelligent tool for simulating customizable population data across species in complex scenarios
作者：Yin, Dong;Yin, Lilin;Tang, Zhenshuang;Xu, Jingya;Li, Xinyun;Zhao, Shuhong;Liu, Xiaolei;Yin, Dong;Zhao, Shuhong;Liu, Xiaolei;Yin, Dong;Yin, Lilin;Tang, Zhenshuang;Xu, Jingya;Li, Xinyun;Zhao, Shuhong;Liu, Xiaolei;Zhang, Xuanning;Zhang, Haohao;Yuan, Xiaohui;Zhou, Xiang;Zhou, Xiang;Zhao, Shuhong;Liu, Xiaolei;Liu, Xiaolei
关键词：Simulation; Breeding program; Genetic correlation; Linear mixed model (LMM); Repeated record trait; SIMER
-
Genome-wide association study discovers new QTL and candidate genes on SSC2 associated with total teat number in Large White x Tongcheng crossbred pigs
作者：Yang, Qinghua;Ma, Fang;Yuan, Jiao;Zhang, Qiaoli;Chen, Zhiyi;Shen, Yang;Meng, Xiangge;Li, Songyu;Yuan, Zining;Zhou, Ping;Liu, Bang;Zhou, Xiang;Liu, Bang;Zhou, Xiang;Zhou, Xiang;Zhou, Xiang
关键词：GWAS; QTL; SSC2; Tongcheng pig; total teat number
-
The Farm Animal Genotype-Tissue Expression (FarmGTEx) Project
作者：Fang, Lingzhao;Lin, Qing;Bai, Zhonghao;Gong, Mian;Sorensen, Peter;Sahana, Goutam;Lund, Mogens Sando;Li, Jing;Liu, Xinfeng;Teng, Jinyan;Lin, Qing;Gao, Yahui;Pan, Xiangchun;Gong, Wentao;Yuan, Xiaolong;Li, Jiaqi;Zhang, Zhe;Liu, Shuli;Yang, Jian;Liu, Shuli;Yang, Jian;Guan, Dailu;Cheng, Hao;Zhou, Huaijun;Li, Bingjie;Hou, Yali;Gong, Mian;Pan, Zhangyuan;Zhao, Fuping;Jiang, Lin;Zhao, Guiping;Zhou, Zhengkui;Zhou, Rong;Yu, Ying;Chen, Siqian;Hou, Zhuocheng;Wang, Qin;Zhang, Yi;Ding, Xiangdong;Sun, Dongxiao;Zhang, Hao;Yang, Ning;Clark, Emily L.;Smith, Jacqueline;Clark, Emily L.;Smith, Jacqueline;Rawlik, Konrad;Xiang, Ruidong;Chamberlain, Amanda J.;Goddard, Michael E.;Xiang, Ruidong;Xiang, Ruidong;Goddard, Michael E.;Chamberlain, Amanda J.;Littlejohn, Mathew;Littlejohn, Mathew;Larson, Greger;MacHugh, David E.;O'Grady, John F.;MacHugh, David E.;MacHugh, David E.;Jiang, Zhihua;Jiang, Zhihua;Zhang, Haihan;He, Xi;Zhang, Yuebo;Gao, Ning;He, Jun;Yi, Guoqiang;Liu, Yuwen;Tang, Zhonglin;Li, Kui;Zhao, Pengju;Zhou, Yang;Fu, Liangliang;Zhao, Shuhong;Zhou, Yang;Liu, Lei;Zhao, Shuhong;Wang, Xiao;Hao, Dan;Young, Robert S.;Shen, Xia;Young, Robert S.;Shen, Xia;Shen, Xia;Shen, Xia;Xia, Charley;Xia, Charley;Ma, Li;Song, Jiuzhou;Cole, John B.;Cole, John B.;Cole, John B.;Cole, John B.;Baldwin, Ransom L.;Li, Cong-jun;Van Tassell, Curtis P.;Rosen, Benjamin D.;Bhowmik, Nayan;Liu, George E.;Lunney, Joan;Liu, Wansheng;Guan, Leluo;Guan, Leluo;Zhao, Xin;Ibeagha-Awemu, Eveline M.;Luo, Yonglun;Lin, Lin;Luo, Yonglun;Lin, Lin;Canela-Xandri, Oriol;Derks, Martijn F. L.;Crooijmans, Richard P. M. A.;Godia, Marta;Madsen, Ole;Groenen, Martien A. M.;Koltes, James E.;Tuggle, Christopher K.;McCarthy, Fiona M.;Rocha, Dominique;Giuffra, Elisabetta;Amills, Marcel;Clop, Alex;Amills, Marcel;Clop, Alex;Ballester, Maria;Tosser-Klopp, Gwenola;Li, Jing;Fang, Chao;Fang, Ming;Wang, Qishan;Liu, Hehe;Deng, Juan;Jin, Long;Li, Mingzhou;Mo, Delin;Liu, Xiaohong;Chen, Yaosheng;Sun, Hui-Zeng;Li, Cong;Wang, Yu;Jiang, Yu;Wu, Dongdong;Wang, Wenwen;Fan, Xinzhong;Zhang, Qin;Hu, Xiaoxiang;Huang, Wen;Wu, Yang;Wu, Weiwei;Kasper, Claudia;Liu, Xinfeng;Yu, Xiaofei;Cui, Leilei;Cui, Leilei;Zhou, Xiang;Kim, Seyoung;Li, Wei;Im, Hae Kyung;Buckler, Edward S.;Buckler, Edward S.;Buckler, Edward S.;Ren, Bing;Ren, Bing;Schatz, Michael C.;Li, Jingyi Jessica;Palmer, Abraham A.;Palmer, Abraham A.;Frantz, Laurent;Frantz, Laurent
关键词：
-
Smartphone-based digital phenotyping for genome-wide association study of intramuscular fat traits in longissimus dorsi muscle of pigs
作者：Shen, Yang;Liu, Bang;Zhou, Xiang;Chen, Yuxi;Zhang, Shufeng;Wu, Ze;Lu, Xiaoyu;Liu, Weizhen;Liu, Bang;Zhou, Xiang;Zhou, Xiang;Zhou, Xiang;Zhou, Xiang
关键词：deep learning; GWAS; image analysis; intramuscular fat traits; pig; smartphone application
-
Comparative alternative polyadenylation profiles in differentiated adipocytes of subcutaneous and intramuscular fat tissue in cattle
作者：Meng, Xiangge;Hei, Yu;Zhou, Xiang;Li, Chengping;Zhou, Guoli;Zhou, Xiang;Zhou, Xiang;Zhou, Xiang
关键词：Alternative polyadenylation; Intramuscular adipocytes; Subcutaneous adipocytes; Differentiation; Cattle
-
Activated P2X receptors can up-regulate the expressions of inflammation-related genes via NF-?B pathway in spotted sea bass (Lateolabrax maculatus)
作者：Sun, Zhaosheng;Gao, Qian;Chen, Yuxi;Xu, Chong;Gao, Jiaqi;Liu, Danjie;Sun, Zhaosheng;Gao, Qian;Chen, Yuxi;Xu, Chong;Gao, Jiaqi;Liu, Danjie;Wei, Youchuan;Zhou, Zhigang
关键词：P2X receptors; extracellular ATP; innate immunity; NF-kappa B pathway; Lateolabrax maculatus
-
Comparative Genomic Analysis of the Thiolase Family and Functional Characterization of the Acetyl-Coenzyme A Acyltransferase-1 Gene for Milk Biosynthesis and Production of Buffalo and Cattle
作者：Deng, Tingxian;Wu, Jiyun;Wang, Xiaojie;Shaukat, Aftab;Zhou, Xiang;Zhou, Yang;Sun, Hui;Wei, Pengfei;Sun, Nan;Huang, Qianzhi;Xu, Linghua;Liu, Miaoyu;Lin, Yuxin;Yang, Liguo;Hua, Guohua;Deng, Tingxian;Wu, Jiyun;Sun, Hui;Hua, Guohua;Wu, Jiyun;Sun, Hui;Hua, Guohua;Abdel-Shafy, Hamdy;Shaukat, Aftab;Yang, Liguo;Hua, Guohua
关键词：ACAA1; cattle; buffalo; mammary epithelial cells; cell proliferation; milk production traits
