Y. Suarez-Hernandez, Duchen Gonzalo, Ponomaryov Volodymyr
{"title":"用于乳房x光异常检测的识别FPGA系统","authors":"Y. Suarez-Hernandez, Duchen Gonzalo, Ponomaryov Volodymyr","doi":"10.1109/MSMW.2010.5546005","DOIUrl":null,"url":null,"abstract":"The recognizing of cancer in mammograms implemented on the FPGA platform is pretty much similar than PC result evaluation. With less than 0.6% error, this program can be used in other image processing applications that require the neural networks employment with good results in characteristic recognizing of the images.","PeriodicalId":129834,"journal":{"name":"2010 INTERNATIONAL KHARKOV SYMPOSIUM ON PHYSICS AND ENGINEERING OF MICROWAVES, MILLIMETER AND SUBMILLIMETER WAVES","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Recognition FPGA system for detection of anomalies in mammograms\",\"authors\":\"Y. Suarez-Hernandez, Duchen Gonzalo, Ponomaryov Volodymyr\",\"doi\":\"10.1109/MSMW.2010.5546005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recognizing of cancer in mammograms implemented on the FPGA platform is pretty much similar than PC result evaluation. With less than 0.6% error, this program can be used in other image processing applications that require the neural networks employment with good results in characteristic recognizing of the images.\",\"PeriodicalId\":129834,\"journal\":{\"name\":\"2010 INTERNATIONAL KHARKOV SYMPOSIUM ON PHYSICS AND ENGINEERING OF MICROWAVES, MILLIMETER AND SUBMILLIMETER WAVES\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 INTERNATIONAL KHARKOV SYMPOSIUM ON PHYSICS AND ENGINEERING OF MICROWAVES, MILLIMETER AND SUBMILLIMETER WAVES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSMW.2010.5546005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 INTERNATIONAL KHARKOV SYMPOSIUM ON PHYSICS AND ENGINEERING OF MICROWAVES, MILLIMETER AND SUBMILLIMETER WAVES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSMW.2010.5546005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognition FPGA system for detection of anomalies in mammograms
The recognizing of cancer in mammograms implemented on the FPGA platform is pretty much similar than PC result evaluation. With less than 0.6% error, this program can be used in other image processing applications that require the neural networks employment with good results in characteristic recognizing of the images.