Literature DB >> 19775683

Gray-scale edge detection for gastric tumor pathologic cell images by morphological analysis.

Tian-gang Li1, Su-pin Wang, Nan Zhao.   

Abstract

For the purpose of analyzing gastric tumor pathologic cell images, a novel method is developed with gray-scale edge detection of mathematical morphology in this study. In combination with texture features of the image under investigation, this paper works on edge detection with various structuring elements (SEs) and gray-scale values. The results of the experiment are presented, and we found several advantages by using the morphological edge detection scheme for the analysis of gastric tumor pathologic cell images. Meanwhile, the results of the binary morphological edge detection are given for comparison.

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Year:  2009        PMID： 19775683     DOI： 10.1016/j.compbiomed.2009.05.010

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN： 0010-4825            Impact factor:   4.589


  6 in total

1.  Preclinical evaluation of nuclear morphometry and tissue topology for breast carcinoma detection and margin assessment.

Authors:  Ndeke Nyirenda; Daniel L Farkas; V Krishnan Ramanujan
Journal:  Breast Cancer Res Treat       Date:  2010-05-06       Impact factor: 4.872

2.  Combined model based on enhanced CT texture features in liver metastasis prediction of high-risk gastrointestinal stromal tumors.

Authors:  Jing Zheng; Yang Xia; Aqiao Xu; Xiaobo Weng; Xu Wang; Haitao Jiang; Qinfang Li; Feng Li
Journal:  Abdom Radiol (NY)       Date:  2021-10-27

Review 3.  Recent advances in morphological cell image analysis.

Authors:  Shengyong Chen; Mingzhu Zhao; Guang Wu; Chunyan Yao; Jianwei Zhang
Journal:  Comput Math Methods Med       Date:  2012-01-09       Impact factor: 2.238

4.  Application of morphological segmentation to leaking defect detection in sewer pipelines.

Authors:  Tung-Ching Su; Ming-Der Yang
Journal:  Sensors (Basel)       Date:  2014-05-16       Impact factor: 3.576

5.  Automated Cell Foreground-Background Segmentation with Phase-Contrast Microscopy Images: An Alternative to Machine Learning Segmentation Methods with Small-Scale Data.

Authors:  Guochang Ye; Mehmet Kaya
Journal:  Bioengineering (Basel)       Date:  2022-02-18

6.  Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.

Authors:  Aqiao Xu; Xiufeng Chu; Shengjian Zhang; Jing Zheng; Dabao Shi; Shasha Lv; Feng Li; Xiaobo Weng
Journal:  BMC Cancer       Date:  2022-08-10       Impact factor: 4.638
  6 in total

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