Early detection, segmentation and quantification of coronary artery blockage using efficient image processing technique

Author:

Alam Md. Ashraful,Pavel Monirul Islam,Shakir Mohsinul Bari,Hossain Mohammad Amzad,Akib Faisal Raihan,Shams Khan Mohammad Aymaan Shams

Publisher

SPIE

Reference22 articles.

1. K-means clustering based angiographic image analysis to measure coronary stenosis;Akhbardeh,2014

2. IOSR Journal of Computer Engineering

3. Niessen. Automatic detection of calcified lesions in the descending aorta using contrast enhanced CT scans. In Biomedical Imaging (ISBI);Shahzad,2012

4. Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision

5. Mazinani M., Qanadli S. D., Hosseini R., Ellis T., Dehmeshki J., A 3D Approach for Extraction of the Coronary artery and Quantification of the Stenosis, World Academy of Science, Engineering and Technology International Journal of Biomedical and Biological Engineering Vol: 5, No: 11.

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