Open AccessARTIFICIAL INTELLIGENCE TO INTERPRET MAMMOGRAMS- ARE WE THERE YET?
Author(s) -
Dinesh Sethi,
Namrita Sachdev,
Yashvant Singh
Publication year - 2020
Publication title -
international journal of scientific research
Language(s) - English
DOI - 10.36106/ijsr/6834881
Subject(s) - mammography , breast cancer , modality (human–computer interaction) , medicine , breast imaging , artificial intelligence , medical physics , cancer , radiology , computer science
Breast cancer is one of the leading causes of cancer related mortality in women. Mammography is the most widely used imaging modality to detect breast cancer. Due to a large number of screening mammograms and a limited number of breast imaging radiologists available all over the world, the role of Artificial Intelligence in the form of Deep Learning algorithms is being explored to assist the radiologists in interpreting these mammograms.