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  Published Paper Details:

  Paper Title

A SURVEY OF CONVOLUTIONAL NEURAL NETWORKS FOR MAMMOGRAMS

  Authors

  Likitha P,  Dr. B G Prasad

  Keywords

Mammogram processing, Deep Learning, Convolutional Neural Networks, Mammography

  Abstract


The study of Mammograms is important as it allows an inside look into the breast health of women. It serves to be a preventive screening method for Breast Cancer. A Radiologist is able to detect variations in breast tissue such as calcifications, masses, and also comment on the density of the breast. These findings aid in the early detection and diagnosis of breast diseases. Studying a mammogram however is a tedious and time-consuming task that additionally requires a certain amount of experience. Automating detection and classification of masses, identifying regions of interest, and determination of breast density all aid a Radiologist to effectively and quickly report the findings in a Mammogram. This paper gives an overview of the current work that has been directed to accomplish this objective utilising Deep Learning techniques.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2007144

  Paper ID - 196657

  Page Number(s) - 1764-1768

  Pubished in - Volume 8 | Issue 7 | July 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Likitha P,  Dr. B G Prasad ,   "A SURVEY OF CONVOLUTIONAL NEURAL NETWORKS FOR MAMMOGRAMS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 7, pp.1764-1768, July 2020, Available at :http://www.ijcrt.org/papers/IJCRT2007144.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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