Automatic colon polyp detection in endoscopic capsule images

This paper presents a method of automatic detection of colon polyps in endoscopic capsule images. This approach uses color and geometrical analysis of the images and uses histogram of gradients features and multilayer perceptron neural networks for performing the detection at multiple scales. The de...

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Main Authors: David, Emilian, Boia, Raluca, Malaescu, Alexandru, Carnu, Mihai
Format: Conference Proceeding
Language:English
Subjects:
Cancer
Colon
Feature extraction
Histograms
Image color analysis
Image segmentation
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creator David, Emilian
Boia, Raluca
Malaescu, Alexandru
Carnu, Mihai
description This paper presents a method of automatic detection of colon polyps in endoscopic capsule images. This approach uses color and geometrical analysis of the images and uses histogram of gradients features and multilayer perceptron neural networks for performing the detection at multiple scales. The detection performance is tested using a database of 30540 images, 540 of them containing at least one polyp.
doi_str_mv 10.1109/ISSCS.2013.6651196
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subjects Cancer
Colon
Feature extraction
Histograms
Image color analysis
Image segmentation
title Automatic colon polyp detection in endoscopic capsule images
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