{"title":"基于特征点映射的肺CT图像感兴趣区域检索","authors":"Suhani Sengar, Aishwarya Anand, Mansi Sharma, Parthasarathi Mangipudi","doi":"10.1109/UPCON.2017.8251029","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel method for retrieval of similar pathological cases in response to a query case in lung CT image database. A database of CT scan image slices of lung Adenocarcinoma is considered for experiments. The basic approach is to devise a framework, which lets a user input a 2D lung CT slice as a query image and output visually similar pathological images from the lung image case database. Feature point maps are used to represent the region-of-interest. Chamfer distance transform has been used as a measure to evaluate similarity for retrieval framework. The retrieval of similar pathological case slices in a quick time can aid the diagnosis and treatment of a new subject based on patient histories of the retrieved scans.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Region-of-interest retrieval in lung CT images using feature point maps\",\"authors\":\"Suhani Sengar, Aishwarya Anand, Mansi Sharma, Parthasarathi Mangipudi\",\"doi\":\"10.1109/UPCON.2017.8251029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a novel method for retrieval of similar pathological cases in response to a query case in lung CT image database. A database of CT scan image slices of lung Adenocarcinoma is considered for experiments. The basic approach is to devise a framework, which lets a user input a 2D lung CT slice as a query image and output visually similar pathological images from the lung image case database. Feature point maps are used to represent the region-of-interest. Chamfer distance transform has been used as a measure to evaluate similarity for retrieval framework. The retrieval of similar pathological case slices in a quick time can aid the diagnosis and treatment of a new subject based on patient histories of the retrieved scans.\",\"PeriodicalId\":422673,\"journal\":{\"name\":\"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UPCON.2017.8251029\",\"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 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPCON.2017.8251029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Region-of-interest retrieval in lung CT images using feature point maps
In this paper, we present a novel method for retrieval of similar pathological cases in response to a query case in lung CT image database. A database of CT scan image slices of lung Adenocarcinoma is considered for experiments. The basic approach is to devise a framework, which lets a user input a 2D lung CT slice as a query image and output visually similar pathological images from the lung image case database. Feature point maps are used to represent the region-of-interest. Chamfer distance transform has been used as a measure to evaluate similarity for retrieval framework. The retrieval of similar pathological case slices in a quick time can aid the diagnosis and treatment of a new subject based on patient histories of the retrieved scans.