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Microvasculature Segmentation of Arterioles Using Deep CNN

Abstract: 

Segmenting microvascular structures is an important requirement in understanding angioadaptation by which vascular networks remodel their morphological structures. Accurate segmentation for separating microvasculature structures is important in quantifying remodeling process. In this work, we utilize a deep convolutional neural network (CNN) framework for obtaining robust segmentations of microvasculature from epifluorescence microscopy imagery of mice dura mater. Due to the inhomogeneous staining of the microvasculature, different binding properties of vessels under fluorescence dye, uneven contrast and low texture content, traditional vessel segmentation approaches obtain sub-optimal accuracy. We consider a deep CNN for the purpose keeping small vessel segments and handle the challenges posed by epifluorescence microscopy imaging modality. Experimental results on ovariectomized - ovary removed (OVX) - mice dura mater epifluorescence microscopy images show that the proposed modified CNN framework obtains an highest accuracy of $99\%$ and better than other vessel segmentation methods.

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Paper Details

Authors:
Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
Submitted On:
10 September 2017 - 10:05pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Kannappan Palaniappan
Paper Code:
2585
Document Year:
2017
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ICIP_17_yasmin - sigport.pdf

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[1] Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan, "Microvasculature Segmentation of Arterioles Using Deep CNN", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1891. Accessed: Sep. 19, 2017.
@article{1891-17,
url = {http://sigport.org/1891},
author = {Yasmin M. Kassim; V. B. Surya Prasath; Olga V. Glinskii; Vladislav V. Glinsky; Virginia H. Huxley; Kannappan Palaniappan },
publisher = {IEEE SigPort},
title = {Microvasculature Segmentation of Arterioles Using Deep CNN},
year = {2017} }
TY - EJOUR
T1 - Microvasculature Segmentation of Arterioles Using Deep CNN
AU - Yasmin M. Kassim; V. B. Surya Prasath; Olga V. Glinskii; Vladislav V. Glinsky; Virginia H. Huxley; Kannappan Palaniappan
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1891
ER -
Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan. (2017). Microvasculature Segmentation of Arterioles Using Deep CNN. IEEE SigPort. http://sigport.org/1891
Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan, 2017. Microvasculature Segmentation of Arterioles Using Deep CNN. Available at: http://sigport.org/1891.
Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan. (2017). "Microvasculature Segmentation of Arterioles Using Deep CNN." Web.
1. Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan. Microvasculature Segmentation of Arterioles Using Deep CNN [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1891