Learning colon centreline from optical colonoscopy, a new way to generate a map of the internal colon surface

Learning colon centreline from optical colonoscopy, a new way to generate a map of the internal colon surface

Optical colonoscopy is known as a gold standard screening method in detecting and removing cancerous polyps. During this procedure, some polyps may be undetected due to their positions, not being covered by the camera or missed by the surgeon. In this Letter, the authors introduce a novel convolutio...

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Bibliographic Details
Main Authors: Mohammad Ali Armin, Nick Barnes, Florian Grimpen, Olivier Salvado
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Healthcare Technology Letters
Subjects:
medical image processing
image segmentation
cancer
biomedical optical imaging
endoscopes
cameras
biological organs
convolutional neural nets
optical colonoscopy
internal colon surface
cancerous polyps
convnet algorithm
colonoscopy simulator
colonoscopy video frames
3d centreline points
simulated colonoscopy frames
real colonoscopy frames
consecutive simulated frames
colon centreline
convolutional neural network algorithm
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0073

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https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0073

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