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Impact of Enhancement for Coronary Artery Segmentation Based on Deep Learning Neural Network
- Source :
- Pattern Recognition and Image Analysis ISBN: 9783030313203, IbPRIA (2)
- Publication Year :
- 2019
- Publisher :
- Springer International Publishing, 2019.
-
Abstract
- X-ray Coronary angiograms are intended to specify the global state of the artery system and therefore to detect and locate the zones of narrowing. Accurate coronary artery segmentation is a fundamental step in computer aided diagnosis of many diseases. In this paper, deep neural network based on U-Net architecture is proposed in order to improve the segmentation task for coronary images. In this context, various enhancement methods, like the adaptive histogram equalization and the multiscale technique with a Frangi filter are tested not only in normal conditions but also in the presence of noise to improve the system performance and to ensure its robustness against real conditions. Promising result are obtained and discussed for different performance criteria. This work will serve as a reference and motivation for researchers interested in the field of blood vessel segmentation by deep learning neural networks.
- Subjects :
- Artificial neural network
Computer science
business.industry
Deep learning
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
Context (language use)
02 engineering and technology
Filter (signal processing)
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Computer-aided diagnosis
Robustness (computer science)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Adaptive histogram equalization
Segmentation
Artificial intelligence
business
Subjects
Details
- ISBN :
- 978-3-030-31320-3
- ISBNs :
- 9783030313203
- Database :
- OpenAIRE
- Journal :
- Pattern Recognition and Image Analysis ISBN: 9783030313203, IbPRIA (2)
- Accession number :
- edsair.doi...........66c9d0b0566ab60353ec9815cffd145b