Abstract:
A system and method for detecting at least one cardiac anomaly includes a specifically configured computer hardware arrangement configured to receive ultrasound imaging information related to a heart of a patient and to use at least one neural network trained on multiple recognition and analysis procedures to detect at least one anomaly and/or to classify a severity of at least one anomaly.
Abstract:
An exemplary system, method and computer-accessible medium for detecting an anomaly(ies) in an anatomical structure(s) of a patient(s) can be provided, which can include, for example, receiving imaging information related to the anatomical structure(s) of the patient(s), classifying a feature(s) of the anatomical structure(s) based on the imaging information using a neural network (s), and detecting the anomaly(ies) based on data generated using the classification procedure. The imaging information can include at least three images of the anatomical structure(s).
Abstract:
A computer implemented method and system for simulating deformation of at least one physical object, the method using a processor to generate steps of: mapping the object using: a mesh of base-shapes, or, basis functions; controlling distortion of the deformation, by constraining or minimizing at least one of: isometric distortion, conformal distortion, and singular values of differentials of the mapping; and displaying the deformation via a display device.