O. Berezsky, O. Pitsun, L. Dubchak, Petro Liashchynskyi, Pavlo Liashchynskyi
{"title":"基于gpu的生物医学图像处理","authors":"O. Berezsky, O. Pitsun, L. Dubchak, Petro Liashchynskyi, Pavlo Liashchynskyi","doi":"10.1109/MEMSTECH.2018.8365710","DOIUrl":null,"url":null,"abstract":"In this research study, the authors developed an adaptive method and algorithm for image pre-processing and models of convolutional neural networks for cytological and histological image classification. The computer experiments were conducted on the basis of central and graphics processors using CUDA technology. Histological and cytological images of breast precancerous and cancerous conditions were used to test pre-processing and classification algorithms.","PeriodicalId":179131,"journal":{"name":"2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"GPU-based biomedical image processing\",\"authors\":\"O. Berezsky, O. Pitsun, L. Dubchak, Petro Liashchynskyi, Pavlo Liashchynskyi\",\"doi\":\"10.1109/MEMSTECH.2018.8365710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research study, the authors developed an adaptive method and algorithm for image pre-processing and models of convolutional neural networks for cytological and histological image classification. The computer experiments were conducted on the basis of central and graphics processors using CUDA technology. Histological and cytological images of breast precancerous and cancerous conditions were used to test pre-processing and classification algorithms.\",\"PeriodicalId\":179131,\"journal\":{\"name\":\"2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEMSTECH.2018.8365710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMSTECH.2018.8365710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this research study, the authors developed an adaptive method and algorithm for image pre-processing and models of convolutional neural networks for cytological and histological image classification. The computer experiments were conducted on the basis of central and graphics processors using CUDA technology. Histological and cytological images of breast precancerous and cancerous conditions were used to test pre-processing and classification algorithms.