Identification of Microcalcifications for Early Signs of Breast Cancer using LabView

Autoři

  • Meharunnisa S. P
  • K. Suresh
  • Ravishankar M.

Abstrakt

Breast cancer is the second-most common and leading cause of cancer death among women. It has become a major health issue in the world over the years, and it has increased drastically in recent years. Early recognition is an effective way to diagnose and manage breast cancer. Mammography is an efficient imaging technique for detection and diagnosis of breast pathological disorders at the early stage. The problems in mammography images such as high brightness value, dense tissues, noise and inefficient contrast level make analysis of these images a hard task for physicians for identification of diagnostic signs such as microcalcifications and masses. This paper presents algorithms which are combination of image processing techniques to remove noise and enhancement of mammography images for identification of microcalcifications. Efficient methods such as use of wavelets and adaptive histogram equalization techniques, along with fusion techniques are used for image enhancement to detect microcalcifications. The images for experimentation are taken from MIAS database.Keywords: LabVIEW, breast cancer, micro calcification, wavelet decomposition Cite this ArticleMeharunnisa SP, Suresh K, Ravishankar M. Identification of Microcalcifications for Early Signs of Breast Cancer using LabView. Journal of Instrumentation Technology & Innovations. 2015; 5(1): 1–5p. 

Stažení

Publikováno

2015-02-11

Číslo

Vol 5 No 1 (2015)

Sekce

Research Articles

Licence

Declaration and Copyright Transfer Form

(to be completed by authors)

 

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

·         I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.

·         I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).

·         I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.

·          I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. _______________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.