Ge Precision Healthcare LLC

Xiaomeng Dong

Gopal Biligeri Avinash

Gireesha Chinthamani Rao

Tao Tan

German Guillermo Vera Gonzalez

Lehel Mihály Ferenczi

Hongxu Yang

Najib Akram Maheen Aboobacker

Systems/techniques that facilitate improved deep learning image processing are provided. In various embodiments, a system can access a medical image, wherein pixels or voxels of the medical image can be allocated among a plurality of regions. In various aspects, the system can generate, via execution of a deep learning neural network on the medical image, a set of region-wise parameter maps, wherein a region-wise parameter map can consist of one predicted parameter per region of the medical image. In various instances, the system can generate a transformed version of the medical image by feeding the set of region-wise parameter maps to an analytical transformation function. In various cases, the system can render the transformed version of the medical image on an electronic display. In various aspects, the plurality of regions can be irregular or tissue-based.

Deep learning image processing via region-wise parameter maps

Growing community of inventors

San Ramon, CA, United States of America

Xiaomeng Dong