title: Evaluation of segmentation algorithms for coronary angiography.
abstract: 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.
authors.affiliation: ITESM, Campus Ciudad de México, Departamento de Electrónica, México DF, México. jbrieva@itesm.mx
authors.forename: J
authors.initials: J
authors.lastname: Brieva
authors.forename: P
authors.initials: P
authors.lastname: Ponce
mesh_terms: 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