Tainan, Taiwan

Chun-Fu Chen

USPTO Granted Patents = 7 

Average Co-Inventor Count = 3.9

ph-index = 2

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2014-2015

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7 patents (USPTO):Explore Patents

Title: Innovations of Chun-Fu Chen

Introduction

Chun-Fu Chen is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of electrocardiography and cell image analysis. With a total of 7 patents, his work has advanced the understanding and application of medical imaging technologies.

Latest Patents

One of his latest patents is an electrocardiography signal extraction method. This method is performed on a processor of a computer system and includes receiving an electrocardiography signal. It involves performing a time-frequency transformation on the received signal to generate a corresponding scalogram. The process includes selecting a predetermined R-pertinent scale and generating a summarized response. Additionally, it obtains the R peak position and identifies Q and S peak positions through relative maximum negative responses. Another significant patent is a cell image segmentation method, which includes receiving a cell image and performing a nuclei initialization step. This step finds internal and external markers to obtain potential nuclei and cell boundaries. The method also includes a nuclear-to-cytoplasmic ratio evaluation method using the cell image segmentation technique.

Career Highlights

Chun-Fu Chen has worked with prestigious institutions such as National Cheng Kung University and the Hong Kong Applied Science and Technology Research Institute. His work in these organizations has allowed him to develop and refine his innovative methods in medical imaging.

Collaborations

He has collaborated with notable coworkers, including Gwo Giun (Chris) Lee and He-Yuan Lin. Their joint efforts have contributed to the advancement of technologies in their respective fields.

Conclusion

Chun-Fu Chen's innovative work in electrocardiography and cell image analysis has made a significant impact in medical technology. His patents reflect a commitment to improving diagnostic methods and enhancing the understanding of cellular structures.

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