{"title":"基于图像处理的医用外科产品识别与目标区分","authors":"S. Anai, M. Iwasaki, Keisuke Hano, S. Kuchii","doi":"10.1109/ICITEED.2017.8250452","DOIUrl":null,"url":null,"abstract":"In medical field, forming surgical invoice is a very burdensome task. Additionally, manual counting makes a lot of incomplete billing due to human error. Therefore, the automation system has a strong demand. Automatic Injection Information Reader had been developed to make invoice automatically and it was introduced into large size hospitals. The current situation, however, is that the device has not been introduced into midsize and smaller hospitals because of the large production cost and size. In this study, the system for identification of medical surgical product and substance distinction was developed with fewer components. It also enabled to identify the medical surgical product which previous machine could not recognize.","PeriodicalId":267403,"journal":{"name":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identification of medical surgical product and object distinction using image processing\",\"authors\":\"S. Anai, M. Iwasaki, Keisuke Hano, S. Kuchii\",\"doi\":\"10.1109/ICITEED.2017.8250452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In medical field, forming surgical invoice is a very burdensome task. Additionally, manual counting makes a lot of incomplete billing due to human error. Therefore, the automation system has a strong demand. Automatic Injection Information Reader had been developed to make invoice automatically and it was introduced into large size hospitals. The current situation, however, is that the device has not been introduced into midsize and smaller hospitals because of the large production cost and size. In this study, the system for identification of medical surgical product and substance distinction was developed with fewer components. It also enabled to identify the medical surgical product which previous machine could not recognize.\",\"PeriodicalId\":267403,\"journal\":{\"name\":\"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITEED.2017.8250452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2017.8250452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of medical surgical product and object distinction using image processing
In medical field, forming surgical invoice is a very burdensome task. Additionally, manual counting makes a lot of incomplete billing due to human error. Therefore, the automation system has a strong demand. Automatic Injection Information Reader had been developed to make invoice automatically and it was introduced into large size hospitals. The current situation, however, is that the device has not been introduced into midsize and smaller hospitals because of the large production cost and size. In this study, the system for identification of medical surgical product and substance distinction was developed with fewer components. It also enabled to identify the medical surgical product which previous machine could not recognize.