Siemens Healthcare Gmbh

Shivam Kaushik

Dorin Comaniciu

Bogdan Georgescu

Mariappan S Nadar

Sasa Grbic

Benjamin L Odry

Bernhard Geiger

Thomas Re

Mayalen Irene Catherine Etcheverry

System and methods are provided for localizing a target object in a medical image. The medical image is discretized into a plurality of images having different resolutions. For each respective image of the plurality of images, starting from a first image and progressing to a last image with the progression increasing in resolution, a sequence of actions is performed for modifying parameters of a target object in the respective image. The parameters of the target object comprise nonlinear parameters of the target object. The sequence of actions is determined by an artificial intelligence agent trained for a resolution of the respective image to optimize a reward function. The target object is localized in the medical image based on the modified parameters of the target object in the last image.

Adaptive nonlinear optimization of shape parameters for object localization in 3D medical images

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South Amboy, NJ, United States of America

Shivam Kaushik