Sunnyvale, CA, United States of America

Paul Chan

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2012-2014

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2 patents (USPTO):Explore Patents

Title: Innovations by Paul Chan in Computer-Aided Detection

Introduction

Paul Chan is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of computer-aided detection (CAD), particularly in the analysis of x-ray mammograms. With a total of 2 patents, his work focuses on enhancing the accuracy of medical imaging technologies.

Latest Patents

One of Paul Chan's latest patents involves methods, systems, and related computer program products for computer-aided detection of anatomical abnormalities in digital x-ray mammograms. The inventive techniques utilize a foundational CAD processing algorithm characterized by non-shift-invariance, non-rotational-invariance, and non-inversional-invariance. In one preferred embodiment, a first x-ray mammogram image of a breast is received, and at least one altered version is generated that differs by image shift, rotation, or inversion. Each of these images is processed using the foundational CAD algorithm to create individual CAD detection sets. These sets are then compared to generate an overall CAD detection set, ultimately reducing false positives in the detection process.

Career Highlights

Paul Chan is currently employed at Hologic, Inc., where he continues to innovate in the field of medical imaging. His work has been instrumental in improving the reliability of CAD systems, which play a crucial role in early detection of breast cancer.

Collaborations

Paul has collaborated with various professionals in his field, including his coworker Keith W Hartman. Their combined expertise contributes to the advancement of technologies that enhance patient care and diagnostic accuracy.

Conclusion

Paul Chan's contributions to computer-aided detection represent a significant advancement in medical imaging technology. His innovative approaches are paving the way for more accurate and reliable diagnostic tools in healthcare.

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