CentroidNet:一个轻量级，快速的核质心检测模型，用于乳房Ki67评分

Q3 Computer Science

中国图象图形学报 Pub Date : 2023-01-01 DOI:10.11834/jig.211207

Wen Ke, Jin Xu, An Hong, He Jie, Wang Jue

{"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":"1 1","pages":""},"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\":\"1 1\",\"pages\":\"\"},\"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}

引用次数: 0

摘要

目的乳腺癌预后Ki67评分可作为判断恶性(侵袭性)细胞增殖率的重要指标。阴性和阳性核检测是Ki67评分的重要组成部分。一种自动化的核检测算法可以减轻观察者内部或观察者之间的变化和劳动密集型核计数的负面影响。在

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

中国图象图形学报 Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

1.20

自引率

0.00%

发文量

6776

期刊介绍： Journal of Image and Graphics (ISSN 1006-8961, CN 11-3758/TB, CODEN ZTTXFZ) is an authoritative academic journal supervised by the Chinese Academy of Sciences and co-sponsored by the Institute of Space and Astronautical Information Innovation of the Chinese Academy of Sciences (ISIAS), the Chinese Society of Image and Graphics (CSIG), and the Beijing Institute of Applied Physics and Computational Mathematics (BIAPM). The journal integrates high-tech theories, technical methods and industrialisation of applied research results in computer image graphics, and mainly publishes innovative and high-level scientific research papers on basic and applied research in image graphics science and its closely related fields. The form of papers includes reviews, technical reports, project progress, academic news, new technology reviews, new product introduction and industrialisation research. The content covers a wide range of fields such as image analysis and recognition, image understanding and computer vision, computer graphics, virtual reality and augmented reality, system simulation, animation, etc., and theme columns are opened according to the research hotspots and cutting-edge topics. Journal of Image and Graphics reaches a wide range of readers, including scientific and technical personnel, enterprise supervisors, and postgraduates and college students of colleges and universities engaged in the fields of national defence, military, aviation, aerospace, communications, electronics, automotive, agriculture, meteorology, environmental protection, remote sensing, mapping, oil field, construction, transportation, finance, telecommunications, education, medical care, film and television, and art. Journal of Image and Graphics is included in many important domestic and international scientific literature database systems, including EBSCO database in the United States, JST database in Japan, Scopus database in the Netherlands, China Science and Technology Thesis Statistics and Analysis (Annual Research Report), China Science Citation Database (CSCD), China Academic Journal Network Publishing Database (CAJD), and China Academic Journal Network Publishing Database (CAJD). China Science Citation Database (CSCD), China Academic Journals Network Publishing Database (CAJD), China Academic Journal Abstracts, Chinese Science Abstracts (Series A), China Electronic Science Abstracts, Chinese Core Journals Abstracts, Chinese Academic Journals on CD-ROM, and China Academic Journals Comprehensive Evaluation Database.