University of Iowa Research Foundation

The United States Government As Represented by the Department of Veterans Affairs

Mona K Garvin

Michael D Abramoff

Milan Sonka

Xiaodong Wu

Hu Qiao

Provided are systems and methods for analyzing images. An exemplary method can comprise receiving at least one image having one or more annotations indicating a feature. The method can comprise generating training images from the at least one image. Each training image can be based on a respective section of the at least one image. The training images can comprise positive images having the feature and negative images without the feature. The method can comprise generating a feature space based on the positive images and the negative images. The method can further comprise identifying the feature in one or more unclassified images based upon the feature space.

Automated separation of binary overlapping trees

A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The graph search applications use objective functions that incorporate non-uniform cost terms such as 'on-surface' costs as well as 'in-region' costs.

Growing community of inventors

Iowa City, IA, United States of America

Mona K Garvin