Xiaoyong Wang

Title: Xiaoyong Wang: Inventor in Medical Imaging and Machine Learning

Introduction

Xiaoyong Wang is an inventor based in Burlingame, California, whose patent work applies machine learning to medical imaging. His inventions address the segmentation of biological structures in CT scans and the detection of choroidal neovascularization in retinal images. Wang is associated with Genentech, Inc. and holds 2 patents.

Latest Patents

- Machine-learning based segmentation of biological objects in medical images. This invention describes a method for segmenting organs in CT scans. It first downscales a scan image so machine-learning models can identify coarse organ boundaries. The system then extracts corresponding regions at the original resolution and uses additional models to produce finer segmentations, which are combined into a segmented image.

- Automated detection of choroidal neovascularization (CNV). This method and system use optical coherence tomography (OCT) data and machine learning to detect CNV in the retina, an advanced stage of age-related macular degeneration. The system generates an output indicating whether CNV has been detected.

Career Highlights

Wang’s patent portfolio reflects work at the intersection of machine learning, medical imaging, and healthcare. The inventions focus on supporting image analysis for organ segmentation and retinal disease detection.

Collaborations

Wang is associated with Genentech, Inc. His listed coworker is Yury Anatolievich Petrov.

Conclusion

Xiaoyong Wang’s patents apply machine learning to medical images, with the aim of improving the analysis of CT scans and retinal OCT data.