NDLI: Context-based ensemble classification for the detection of architectural distortion in a digitised mammogram

Content Provider	IET Digital Library
Author	Akhtar, Yusuf Mukherjee, Dipti Prasad
Abstract	The problem of computer-aided detection of architectural distortion (AD) in a digitised mammogram has been attempted in this manuscript. In examining a mammogram, the decision regarding a particular region of interest (RoI) is dependent on the appearance of the surrounding regions. However, in existing methods to detect AD the inference about an RoI is dependent on the appearance of this RoI alone. In addition, multiple radiologists infer the same mammogram in coming to a final decision about the mammogram. Contrary to popular ensemble classifiers like Adaboost and Random Forest, the authors propose an ensemble based method (imitating multiple radiologists by classifiers) for detecting AD such that the decision on a test RoI is dependent on the decisions of the surrounding RoIs in the proposed ensemble classifier. The proposed context-based ensemble classifier has been validated on two mammographic databases. The proposal shows promising results in both the databases.
Starting Page	603
Ending Page	614
Page Count	12
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 4, Mar (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0639
Journal	IET Image Processing
Publisher Date	2019-11-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Architectural Distortion Biology And Medical Computing Biomedical Imaging/measurement Computer Vision And Image Processing Technique Computer-aided Detection Context-based Ensemble Classification Context-based Ensemble Classifier Data Handling Technique Digitised Mammogram Image Classification Image Recognition Inference Knowledge Engineering Technique Learning in AI Mammography Medical Image Processing Multiple Radiologists Particular Region Patient Diagnostic Method And Instrumentation Radiography And Computed Tomography Radiology Surrounding Region Surrounding RoIs Test RoI X-Ray Technique X-Rays And Particle Beam
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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