Open AccessMethods for Flipping of Mammogram Images and Noise Removals
Author(s) -
Samir Kumar Bandyopadhyay
Publication year - 1970
Publication title -
innovative journal of medical and health science
Language(s) - English
Resource type - Journals
eISSN - 2589-9341
pISSN - 2277-4939
DOI - 10.15520/ijmhs.v9i4.2550
Subject(s) - breast cancer , artificial intelligence , computer science , noise (video) , mammography , kernel (algebra) , gaussian noise , pattern recognition (psychology) , medicine , cancer , digital image , computer vision , radiology , image (mathematics) , image processing , mathematics , combinatorics
Cancer can be brain cancer, breast cancer, cervical cancer, etc. depending on theoccurrence on the different parts of the body. to name a few. Cancer detected in laterstage and it results into high mortality within few months. Early detection is the onlyhope for better prognosis and treatment. This paper proposed methods that digitalmammogram image pair is initially pre-processed, the right oriented mammogram isflipped and any unwanted artifacts are removed from the image. Next noise removalis made using the Gaussian kernel.Key words: Digital mammography–Computer Aided Diagnosis–Breast Region–Seed