Evaluation of segmentation algorithms for coronary angiography.
This paper presents an evaluation technique based on ROC analysis to compare four segmentation algorithms in coronary angiography images. We have implemented four algorithms and we have optimized their parameters; then, we have compared their performances. Both steps are done by means of a ROC analysis. Experimental results are presented on simulated data and real images.
Brieva
J
J
ITESM, Campus Ciudad de México, Departamento de Electrónica, México DF, México. jbrieva@itesm.mx
Ponce
P
P
D000465:Algorithms; D001185:Artificial Intelligence; D017023:Coronary Angiography / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity