Diagnosis of breast cancer by tissue analysis

In this paper, we propose a technique to locate abnormal growth of cells in breast tissue and suggest further pathological test, when require. We compare normal breast tissue with malignant invasive breast tissue by a series of image processing steps. Normal ductal epithelial cells and ductal/lobula...

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Bibliographic Details
Published inChinese journal of cancer research Vol. 25; no. 1; pp. 39 - 45
Main Authors Bhattacharyya, Debnath, Bandyopadhyay, Samir Kumar, Kim, Tai-Hoon
Format Journal Article
LanguageEnglish
Published China Computer Science and Engineering Department, NFET, NSHM Knowledge Campus-Durgapur, Durgapur-713212, India%Department of Computer Science and Engineering, University of Calcutta, Kolkata-700009, India%School of Computing and Information Systems, University of Tasmania, Australia 01.02.2013
AME Publishing Company
Subjects
Original
p53基因突变
乳腺癌
乳腺组织
图像处理
异常生长
组织分析
组织细胞
诊断
Mammography
epithelium
drug administration
edge detection
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Summary:In this paper, we propose a technique to locate abnormal growth of cells in breast tissue and suggest further pathological test, when require. We compare normal breast tissue with malignant invasive breast tissue by a series of image processing steps. Normal ductal epithelial cells and ductal/lobular invasive carcinogenic cells also consider for comparison here in this paper. In fact, features of cancerous breast tissue （invasive） are extracted and analyses with normal breast tissue. We also suggest the breast cancer recognition technique through image processing and prevention by controlling p53 gene mutation to some extent.
Bibliography:In this paper, we propose a technique to locate abnormal growth of cells in breast tissue and suggest further pathological test, when require. We compare normal breast tissue with malignant invasive breast tissue by a series of image processing steps. Normal ductal epithelial cells and ductal/lobular invasive carcinogenic cells also consider for comparison here in this paper. In fact, features of cancerous breast tissue （invasive） are extracted and analyses with normal breast tissue. We also suggest the breast cancer recognition technique through image processing and prevention by controlling p53 gene mutation to some extent.
11-2591/R
Mammography; drug administration; edge detection; epithelium
ISSN:1000-9604
1993-0631
DOI:10.3978/j.issn.1000-9604.2012.12.02