{"title":"基于卷积神经网络的医学术语识别与检测","authors":"Dr. Aziz Makandar and Nayan Jadhav","doi":"10.46501/ijmtst0901007","DOIUrl":null,"url":null,"abstract":"The purpose of this review is to examineand assess the obstacles that have been encountered in the research and development of\nOCR systems for machin evision jobs in the processing of medical image modalities. In this regard, this study summarizes a\nplanning appropriate of OCR ,identifies challenges in the design of character recognition models in medical image modalities,\nwith special attention to text data in these images, and, finally, provides benefits of this technology in the health system, as well\nas possible future research directions","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recognition and Detection of Medical Term using Convolutional Neural Network\",\"authors\":\"Dr. Aziz Makandar and Nayan Jadhav\",\"doi\":\"10.46501/ijmtst0901007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this review is to examineand assess the obstacles that have been encountered in the research and development of\\nOCR systems for machin evision jobs in the processing of medical image modalities. In this regard, this study summarizes a\\nplanning appropriate of OCR ,identifies challenges in the design of character recognition models in medical image modalities,\\nwith special attention to text data in these images, and, finally, provides benefits of this technology in the health system, as well\\nas possible future research directions\",\"PeriodicalId\":13741,\"journal\":{\"name\":\"International Journal for Modern Trends in Science and Technology\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Modern Trends in Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46501/ijmtst0901007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Modern Trends in Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46501/ijmtst0901007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognition and Detection of Medical Term using Convolutional Neural Network
The purpose of this review is to examineand assess the obstacles that have been encountered in the research and development of
OCR systems for machin evision jobs in the processing of medical image modalities. In this regard, this study summarizes a
planning appropriate of OCR ,identifies challenges in the design of character recognition models in medical image modalities,
with special attention to text data in these images, and, finally, provides benefits of this technology in the health system, as well
as possible future research directions