{"title":"CentroidNet:一个轻量级,快速的核质心检测模型,用于乳房Ki67评分","authors":"Wen Ke, Jin Xu, An Hong, He Jie, Wang Jue","doi":"10.11834/jig.211207","DOIUrl":null,"url":null,"abstract":": Objective Breast cancer - prognostic Ki67 score can be as a key indicator for the proliferation rate of malignant ( invasive ) cells. Negative and positive nuclei detection is an essential part of Ki67 scoring. An automated algorithm for nuclei detection can alleviate the negative impact of intra/inter - observer variation and labor - intensive nuclei counting. In","PeriodicalId":36336,"journal":{"name":"中国图象图形学报","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CentroidNet:a light-weight,fast nuclei centroid detection model for breast Ki67 scoring\",\"authors\":\"Wen Ke, Jin Xu, An Hong, He Jie, Wang Jue\",\"doi\":\"10.11834/jig.211207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Objective Breast cancer - prognostic Ki67 score can be as a key indicator for the proliferation rate of malignant ( invasive ) cells. Negative and positive nuclei detection is an essential part of Ki67 scoring. An automated algorithm for nuclei detection can alleviate the negative impact of intra/inter - observer variation and labor - intensive nuclei counting. In\",\"PeriodicalId\":36336,\"journal\":{\"name\":\"中国图象图形学报\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中国图象图形学报\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.11834/jig.211207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国图象图形学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.11834/jig.211207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
CentroidNet:a light-weight,fast nuclei centroid detection model for breast Ki67 scoring
: Objective Breast cancer - prognostic Ki67 score can be as a key indicator for the proliferation rate of malignant ( invasive ) cells. Negative and positive nuclei detection is an essential part of Ki67 scoring. An automated algorithm for nuclei detection can alleviate the negative impact of intra/inter - observer variation and labor - intensive nuclei counting. In