This inventor holds 5 USPTO granted patents. Top assignee: Johns Hopkins University. Active years: 2006-2023.
Company Filing History:
Years Active: 2006-2023
Title: Innovations by William C. Walton
Introduction
William C. Walton is an accomplished inventor based in Severn, MD (US). He has made significant contributions to the field of medical imaging, particularly in mammography. With a total of 5 patents to his name, Walton's work focuses on enhancing the detection and characterization of abnormal tissues.
Latest Patents
One of Walton's latest patents is titled "Method and apparatus for registration of different mammography image views." This innovative method involves identifying potential lesions in mammographic images through operations executed by an image processing device. The process includes receiving first and second image data, registering these data using a convolutional neural network (CNN), and generating display output that identifies any detected lesions.
Another notable patent is "Abnormal tissue detection via modal upstream data fusion." This method characterizes and locates abnormal tissue in a specified area of interest within the body. It involves receiving examination data from multiple modalities, evaluating these data segments, and generating a multi-modal correspondence anatomic model. The model helps in determining abnormal tissue detections and provides a modal diagnosis confidence score.
Career Highlights
William C. Walton is affiliated with Johns Hopkins University, where he continues to advance research in medical imaging technologies. His work has been instrumental in improving diagnostic methods, ultimately benefiting patient care.
Collaborations
Walton has collaborated with notable colleagues, including Christopher M. Gifford and Marc A. Kolodner. These partnerships have fostered innovation and contributed to the success of his projects.
Conclusion
William C. Walton's contributions to medical imaging through his patents demonstrate his commitment to advancing healthcare technology. His innovative methods for detecting abnormal tissues are paving the way for improved diagnostic capabilities in mammography.