TY - GEN
T1 - An image processing-based method for quantification of microvasculature
AU - Sun, Bo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/3
Y1 - 2014/9/3
N2 - The characteristic of microscopic vascular data is that it contains many tiny vessels with branching and complex structure. The quantification of these vascular networks is crucial in diagnose of vascular abnormalities, surgical planning, and monitoring disease progress or remission. Therefore, We have developed a computerized system for automatically measuring the vascular data of a microscopic image. The major component of this system is an image processing-based method for quantitative analysis and a fast and accurate vessels extraction method.
AB - The characteristic of microscopic vascular data is that it contains many tiny vessels with branching and complex structure. The quantification of these vascular networks is crucial in diagnose of vascular abnormalities, surgical planning, and monitoring disease progress or remission. Therefore, We have developed a computerized system for automatically measuring the vascular data of a microscopic image. The major component of this system is an image processing-based method for quantitative analysis and a fast and accurate vessels extraction method.
UR - http://www.scopus.com/inward/record.url?scp=84937109503&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937109503&partnerID=8YFLogxK
U2 - 10.1109/ICMEW.2014.6890564
DO - 10.1109/ICMEW.2014.6890564
M3 - Conference contribution
AN - SCOPUS:84937109503
T3 - 2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014
BT - 2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014
Y2 - 14 July 2014 through 18 July 2014
ER -