组织图像的简单分形评价方法在医学诊断中的应用。

Nonlinear biomedical physics Pub Date : 2010-12-06 DOI:10.1186/1753-4631-4-7

Wlodzimierz Klonowski, Robert Stepien, Pawel Stepien

{"title":"组织图像的简单分形评价方法在医学诊断中的应用。","authors":"Wlodzimierz Klonowski, Robert Stepien, Pawel Stepien","doi":"10.1186/1753-4631-4-7","DOIUrl":null,"url":null,"abstract":" We propose new method of assessment of histological images for medical diagnostics. 2-D image is preprocessed to form 1-D landscapes or 1-D signature of the image contour and then their complexity is analyzed using Higuchi's fractal dimension method. The method may have broad medical application, from choosing implant materials to differentiation between benign masses and malignant breast tumors.","PeriodicalId":87480,"journal":{"name":"Nonlinear biomedical physics","volume":"4 1","pages":"7"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1753-4631-4-7","citationCount":"23","resultStr":"{\"title\":\"Simple fractal method of assessment of histological images for application in medical diagnostics.\",\"authors\":\"Wlodzimierz Klonowski, Robert Stepien, Pawel Stepien\",\"doi\":\"10.1186/1753-4631-4-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\" We propose new method of assessment of histological images for medical diagnostics. 2-D image is preprocessed to form 1-D landscapes or 1-D signature of the image contour and then their complexity is analyzed using Higuchi's fractal dimension method. The method may have broad medical application, from choosing implant materials to differentiation between benign masses and malignant breast tumors.\",\"PeriodicalId\":87480,\"journal\":{\"name\":\"Nonlinear biomedical physics\",\"volume\":\"4 1\",\"pages\":\"7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/1753-4631-4-7\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nonlinear biomedical physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/1753-4631-4-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear biomedical physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/1753-4631-4-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 23

摘要

我们提出了一种新的评估医学诊断组织学图像的方法。对二维图像进行预处理，形成一维景观或图像轮廓的一维特征，然后利用Higuchi分形维数法分析其复杂度。从选择植入材料到鉴别乳腺良性肿块和恶性肿瘤，该方法具有广泛的医学应用价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

摘要图片

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Simple fractal method of assessment of histological images for application in medical diagnostics.

We propose new method of assessment of histological images for medical diagnostics. 2-D image is preprocessed to form 1-D landscapes or 1-D signature of the image contour and then their complexity is analyzed using Higuchi's fractal dimension method. The method may have broad medical application, from choosing implant materials to differentiation between benign masses and malignant breast tumors.

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

Nonlinear biomedical physics

自引率

0.00%

发文量