Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images

no code implementations • 10 Jul 2018 • Shenghua He, Jie Zheng, Akiko Maehara, Gary Mintz, Dalin Tang, Mark Anastasio, Hua Li

Traditional machine learning based methods, such as the least squares support vector machine and random forest methods, have been recently employed to automatically characterize plaque regions in OCT images.

Classification feature selection +2