{"title":"优化r-cnn方法检测卵巢囊肿","authors":"Jiade Li, Qili Chen","doi":"10.1109/CCIS57298.2022.10016426","DOIUrl":null,"url":null,"abstract":"With the continuous development and progress of medical imaging technology and computer technology, medical image analysis has become an indispensable tool and technical means in medical research, clinical disease diagnosis and treatment. This paper will introduce the ovarian cyst detector based on r-cnn and its improved optimization method, and make a comparative analysis..","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"232 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An optimization r-cnn method for Ovarian cyst detection\",\"authors\":\"Jiade Li, Qili Chen\",\"doi\":\"10.1109/CCIS57298.2022.10016426\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the continuous development and progress of medical imaging technology and computer technology, medical image analysis has become an indispensable tool and technical means in medical research, clinical disease diagnosis and treatment. This paper will introduce the ovarian cyst detector based on r-cnn and its improved optimization method, and make a comparative analysis..\",\"PeriodicalId\":374660,\"journal\":{\"name\":\"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)\",\"volume\":\"232 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIS57298.2022.10016426\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS57298.2022.10016426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An optimization r-cnn method for Ovarian cyst detection
With the continuous development and progress of medical imaging technology and computer technology, medical image analysis has become an indispensable tool and technical means in medical research, clinical disease diagnosis and treatment. This paper will introduce the ovarian cyst detector based on r-cnn and its improved optimization method, and make a comparative analysis..