Context‐based ensemble classification for the detection of architectural distortion in a digitised mammogram-Reference-Cited by-同舟云学术

Context‐based ensemble classification for the detection of architectural distortion in a digitised mammogram

Published:2020-02-03 Issue:4 Volume:14 Page:603-614
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Akhtar Yusuf¹,Mukherjee Dipti Prasad¹

Affiliation:

1. Electronics and Communication Sciences UnitIndian Statistical InstituteKolkataIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.0639

Reference26 articles.

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2. 1994 Exerpta Medica Int. Congress Series York UK J. Suckling J. Parker D.R. Dance The mammographic image analysis society digital mammogram database

3. American Cancer Society: Breast cancer early detection and diagnosis. Available athttps://www.cancer.org/cancer/breast‐cancer/screening‐tests‐and‐early‐detection.html. Accessed as in May 2019

4. Characterization of architectural distortion in mammograms

5. 2012 IEEE Int. Symp. on Medical Measurements and Applications Proc. (MeMeA) Rome R.M. Rangayyan S. Banik J.E.L. Desautels Detection of architectural distortion in prior mammograms using measures of angular dispersion 1 4

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