East Amherst, NY, United States of America

George C Lee


Average Co-Inventor Count = 2.6

ph-index = 6

Forward Citations = 221(Granted Patents)


Location History:

  • Williamsville, NY (US) (1992)
  • Buffalo, NY (US) (1996 - 1998)
  • E. Amherst, NY (US) (2001)
  • East Amherst, NY (US) (2000 - 2008)
  • Brea, CA (US) (2015)
  • Parlin, NJ (US) (2015 - 2020)

Company Filing History:


Years Active: 1992-2020

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12 patents (USPTO):Explore Patents

Title: Innovations of George C Lee in Prostate Cancer Prediction

Introduction

George C Lee is a notable inventor based in East Amherst, NY, who has made significant contributions to the field of medical technology, particularly in the prediction of prostate cancer recurrence and metastasis. With a total of 11 patents to his name, Lee's work focuses on utilizing advanced imaging techniques and machine learning to enhance cancer diagnosis and treatment.

Latest Patents

Among his latest patents, one notable invention is a method for predicting prostate cancer biochemical recurrence and metastasis using computer-extracted features from tumor nuclei and benign regions. This invention involves accessing a set of images of tissue regions demonstrating cancerous pathology, segmenting cellular nuclei, and generating a combined feature set for analysis by a machine learning classifier. The classifier then predicts the likelihood of biochemical recurrence or metastasis based on the provided features.

Another significant patent is related to the Tumor Plus Adjacent Benign Signature (TABS) for quantitative histomorphometry. This invention describes methods and apparatus for predicting prostate cancer progression by analyzing tumor cell morphology features and benign region graph features. The apparatus acquires images, detects and segments cells, extracts morphological features, and calculates the probability of cancer progression based on the TABS features.

Career Highlights

George C Lee has had a distinguished career, contributing to advancements in cancer research and technology. He has worked with various institutions, including the State University of New York, where he has collaborated with other experts in the field to further his research and innovations.

Collaborations

Lee has collaborated with notable colleagues such as Zhong Liang and Anant Madabhushi, who have also contributed to the field of cancer research. Their combined expertise has led to significant advancements in the understanding and prediction of prostate cancer.

Conclusion

George C Lee's innovative work in the field of prostate cancer prediction showcases the potential of combining imaging technology with machine learning to improve patient outcomes. His contributions continue to influence the medical community and pave the way for future advancements in cancer diagnosis and treatment.

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