The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods - Carneiro, G.; Nascimento, J. C.; Freitas, A. (IEEE transactions on image processing, 2012)
Keywords: Algorithms; Applied sciences; Artificial Intelligence; Complexity theory; Exact sciences and technology; Heart; Heart Ventricles - diagnostic imaging; Humans; Hypertrophy, Left Ventricular - diagnostic imaging; Image Interpretation, Computer-Assisted - methods; Image processing; Image segmentation; Imaging; Information, signal and communications theory; Learning; Robustness; ROC Curve; Search methods; Segmentation; Shape; Signal processing; Studies; Supervised learning; Teaching methods; Telecommunications and information theory; Training; Ultrasonography; Ultrasound; Ventricular Dysfunction, Left - diagnostic imaging; State of the art; Error estimation; Segmentation; Similarity; Ultrasound imaging; Annotation; Search algorithm; Innovation; Algorithm performance; Supervised learning; High sensitivity; Image sequence; Imaging; Robustness; Open market; Acoustic image; Ultrasound