This inventor holds 1 USPTO granted patent. Top assignees: Clinton James Vaughan Campbell, Hamid Reza Tizhoosh. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations by Clinton James Vaughan Campbell
Introduction
Clinton James Vaughan Campbell is an accomplished inventor based in Oakville, CA. He has made significant contributions to the field of cytology through his innovative patent. His work focuses on the automatic identification of features in cytology specimens, showcasing the intersection of technology and medical science.
Latest Patents
Clinton holds a patent for "Systems and methods for automatically identifying features of a cytology specimen." This patent describes computer-implemented methods and systems that facilitate the automatic identification of features within cytology specimens. The method involves dividing a whole slide image of the specimen into multiple image portions. A first neural network is applied to each portion to identify relevant images, followed by a second neural network that generates cell data for the identified portions. The process includes comparing cell data to determine if a similarity threshold is met, ensuring accurate identification of features.
Career Highlights
Throughout his career, Clinton has worked with notable individuals in the field, including Hamid Reza Tizhoosh and Seyed Rohollah Moosavitayebi. His collaboration with these professionals has furthered advancements in cytology and automated image analysis.
Collaborations
Clinton has collaborated with Hamid Reza Tizhoosh and Seyed Rohollah Moosavitayebi, contributing to various projects that enhance the understanding and application of cytological techniques.
Conclusion
Clinton James Vaughan Campbell's innovative work in the field of cytology exemplifies the potential of technology to improve medical diagnostics. His patent reflects a significant advancement in the automatic identification of cytological features, paving the way for future innovations in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile