University of California

Bharath Ramakrishna

Matthew S Brown

Jonathan Goldin

Dieter R Enzmann

Pechin Lo

Xiaoyong Wang

A method for using machine learning to perform classification of anatomical coverage of images includes acquiring a series of medical images of a subject. The method also includes automatically, with a computer system, analyzing each image in the series of medical images using a machine-learning technique to classify each image in the series of medical images based on anatomical structures reflected in each image in the series of medical images.

System and method for improved medical images

A computer aided detection (CAD) method and system is configured to input chest radiographs and generate overlay layer for labeling and tracing tubes detected within the image. The input image is first preprocessed and then segmented according to anatomy. Seeds are generated from the segmented image and then used to grow the region. Tubes are selected from the grown region and data is overlayed on the image based on the grown seed path.

Growing community of inventors

Los Angeles, CA, United States of America

Bharath Ramakrishna