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The curve representation method in plane differential geometry is expounded, with the SegNet-v2 segmentation model analyzed and tested in medical image segmentation. The test results show that the partial differential equation image segmentation algorithm can achieve more accurate segmentation, especially in medical image segmentation, which can achieve good results, and it is worth in practice to further promote.<\/jats:p>","DOI":"10.3233\/jifs-179614","type":"journal-article","created":{"date-parts":[[2020,1,24]],"date-time":"2020-01-24T12:18:44Z","timestamp":1579868324000},"page":"3903-3909","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Image segmentation algorithm based on partial differential equation"],"prefix":"10.1177","volume":"38","author":[{"given":"Rui","family":"Guo","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Jilin, Changchun, China"}]},{"given":"Xuanjing","family":"Shen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Jilin, 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