About Dataset
The present database consists of 130 X-ray coronary angiograms, and their corresponding ground-truth image outlined by an expert cardiologist. Each angiogram is a 300 x 300 pixels, gray-scale image in pgm (Portable gray map) format. The Cardiology Department of the Mexican Social Security Institute, UMAE T1-León has provided the whole image database, and the ethics approval for its use in the present research, under reference R-2019-1001-078.
This database has been generated to assess the vessel detection and segmentation performance of our proposed method, and it represents the first set of X-ray angiograms with ground-truth images made accessible for scientific community for research and comparison purposes.
Please cite the following paper:
Cervantes-Sanchez, Fernando; Cruz-Aceves, Ivan; Hernandez-Aguirre, Arturo; Hernandez-Gonzalez, Martha A.; Solorio-Meza, Sergio E. 2019. "Automatic Segmentation of Coronary Arteries in X-ray Angiograms using Multiscale Analysis and Artificial Neural Networks." Appl. Sci. 9, no. 24: 5507.
from the Special Issue: Signal Processing and Machine Learning for Biomedical Data (Applied Sciences,MDPI)