Youbao Tang

Title: Youbao Tang: Innovator in Medical Imaging Technology

Introduction

Youbao Tang is a prominent inventor based in Bethesda, MD, specializing in advancements in medical imaging technology. He has made significant contributions to the field, holding a total of three patents that focus on innovative methods and devices for image processing and analysis.

Latest Patents

One of his latest patents is titled "Method, device, and storage medium for weakly-supervised universal lesion segmentation with regional level set loss." This patent describes a computer-implemented method that utilizes an attention-enhanced high-resolution network (AHRNet) to extract feature maps from images. The process involves generating probability maps and updating the network using various segmentation losses to improve lesion segmentation accuracy.

Another notable patent is "Method, device, and computer program product for self-supervised learning of pixel-wise anatomical embeddings in medical images." This invention outlines a self-supervised anatomical embedding method that enhances the analysis of medical images. It includes steps for data augmentation, generating embedding tensors, and minimizing noise contrastive estimation loss to improve the quality of anatomical embeddings.

Career Highlights

Youbao Tang is currently employed at Ping An Technology (Shenzhen) Co., Ltd., where he continues to develop innovative solutions in medical imaging. His work has garnered attention for its potential to improve diagnostic accuracy and efficiency in healthcare settings.

Collaborations

He collaborates with talented coworkers, including Ke P Yan and Jinzheng Cai, who contribute to the research and development of cutting-edge technologies in the field.

Conclusion

Youbao Tang's contributions to medical imaging technology through his patents and work at Ping An Technology highlight his role as an influential inventor in the industry. His innovative methods are paving the way for advancements in medical diagnostics and treatment.