Company Filing History:
Years Active: 2014-2017
Title: Yuchi Huang: Innovator in Biological Imaging Technology
Introduction
Yuchi Huang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of biological imaging technology. With a focus on segmenting digital images of biological tissues, his work has implications for various applications in medical and biological research.
Latest Patents
Yuchi Huang holds 2 patents that showcase his innovative approaches. His latest patents include "Biological unit segmentation with ranking based on similarity applying a geometric shape and scale model." This patent describes a method for segmenting digital images of biological tissue into biological units, such as cells, using a data-driven approach. The process involves generating a first weak segmentation and ranking the biological units based on their similarity in shape and scale. A second weak segmentation is then created using a subset of the ranked biological units.
Another notable patent is "Biological unit identification based on supervised shape ranking." This method utilizes a ranking model derived from training data to segment digital images of biological tissue. It involves identifying shapes within the image and determining their ranks to facilitate effective segmentation.
Career Highlights
Yuchi Huang is currently employed at General Electric Company, where he continues to develop innovative solutions in the field of biological imaging. His work is characterized by a commitment to advancing technology that enhances the understanding of biological structures.
Collaborations
Yuchi has collaborated with notable colleagues, including Alberto Santamaria-Pang and Jens Rittscher. These collaborations have contributed to the advancement of his research and the successful development of his patents.
Conclusion
Yuchi Huang's contributions to biological imaging technology through his patents and work at General Electric Company highlight his role as an influential inventor in the field. His innovative methods for segmenting digital images of biological tissues are paving the way for advancements in medical research and diagnostics.