Literature DB >> 23372340

Diagnosis of breast cancer by tissue analysis.

Debnath Bhattacharyya1, Samir Kumar Bandyopadhyay, Tai-Hoon Kim.   

Abstract

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.

Entities:  

Keywords:  Mammography; drug administration; edge detection; epithelium

Year:  2013        PMID: 23372340      PMCID: PMC3555297          DOI: 10.3978/j.issn.1000-9604.2012.12.02

Source DB:  PubMed          Journal:  Chin J Cancer Res        ISSN: 1000-9604            Impact factor:   5.087


  5 in total

1.  Simultaneous ultrasound and MRI system for breast biopsy: compatibility assessment and demonstration in a dual modality phantom.

Authors:  Annie M Tang; Daniel F Kacher; Edmund Y Lam; Kelvin K Wong; Ferenc A Jolesz; Edward S Yang
Journal:  IEEE Trans Med Imaging       Date:  2008-02       Impact factor: 10.048

2.  Cell-graph mining for breast tissue modeling and classification.

Authors:  Cagatay Bilgin; Cigdem Demir; Chandandeep Nagi; Bulent Yener
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

3.  Fluorescence spectroscopy: an adjunct diagnostic tool to image-guided core needle biopsy of the breast.

Authors:  Changfang Zhu; Elizabeth S Burnside; Gale A Sisney; Lonie R Salkowski; Josephine M Harter; Bing Yu; Nirmala Ramanujam
Journal:  IEEE Trans Biomed Eng       Date:  2009-03-04       Impact factor: 4.538

4.  The cell graphs of cancer.

Authors:  Cigdem Gunduz; Bülent Yener; S Humayun Gultekin
Journal:  Bioinformatics       Date:  2004-08-04       Impact factor: 6.937

5.  High throughput analysis of breast cancer specimens on the grid.

Authors:  Lin Yang; Wenjin Chen; Peter Meer; Gratian Salaru; Michael D Feldman; David J Foran
Journal:  Med Image Comput Comput Assist Interv       Date:  2007
  5 in total
  1 in total

1.  A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.

Authors:  Ayaka Sakai; Yuya Onishi; Misaki Matsui; Hidetoshi Adachi; Atsushi Teramoto; Kuniaki Saito; Hiroshi Fujita
Journal:  Radiol Phys Technol       Date:  2019-11-04
  1 in total

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