Automatic assessment of informative frames in endoscopic video

Automatic assessment of informative frames in endoscopic video

Recently, studies have proven the feasibility of Computer-Aided Detection (CAD) systems for the early detection of esophageal cancer, exploiting the high-quality visual information of HD endoscopy. However, many frames in an endoscopic video are not suited for the detection of cancer, as they are ou...

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Bibliographic Details
Published in:2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) pp. 119 - 122
Main Authors: van Dongen, N. C., van der Sommen, F., Zinger, S., Sekoon, E. J., de With, P. H. N.
Format: Conference Proceeding Journal Article
Language:English
Published: IEEE 01-04-2016
Subjects:
Assessments
Automation
Cancer
Classification algorithms
Computer aided design
computer-aided diagnosis
Design automation
Discrete cosine transforms
Endoscopes
endoscopy
esophageal cancer
Feature extraction
Frames
Image classification
Image color analysis
Specular reflection
video frame classification
Visual
Online Access:Get full text
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Summary:Recently, studies have proven the feasibility of Computer-Aided Detection (CAD) systems for the early detection of esophageal cancer, exploiting the high-quality visual information of HD endoscopy. However, many frames in an endoscopic video are not suited for the detection of cancer, as they are out-of-focus or contaminated by intestinal juices and/or specular reflections. The analysis of useless low-quality frames should be avoided and may also lead to spurious (false) detections. In this paper, we present a novel automated method for the assessment and selection of informative frames in endoscopic videos. This method can serve as a pre-processing step for a CAD system. The proposed method distinguishes informative and noninformative frames with an area under the curve of 97.4%, which significantly outperforms state-of-the-art algorithms.
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ISSN:1945-8452
DOI:10.1109/ISBI.2016.7493225