Tampa, FL, United States of America

Stanley R Deans

This inventor holds 1 USPTO granted patent. Top assignee: University of South Florida. Active years: 2001.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Stanley R Deans. Retrieved from https://idiyas.com/inventor/stanley-r-deans

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 41(Granted Patents)


Company Filing History:


Years Active: 2001

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1 patent (USPTO):Explore Patents

Title: Stanley R. Deans and Medical Image Analysis

Introduction

Stanley R. Deans is an inventor based in Tampa, Florida, whose patent work addresses the analysis of medical images. His invention focuses on identifying and localizing potential abnormalities in images such as digital mammograms.

Latest Patents

Deans is associated with 1 patent: “Normal and Abnormal Tissue Identification System and Method for Medical Images Such as Digital Mammograms.” The patented system applies wavelet expansion to a raw image, producing subspace images at different resolutions. It selects images suited to a chosen detection range, evaluates their statistical characteristics, and establishes thresholds for distinguishing normal tissue regions from regions that may be abnormal. The resulting output image marks regions according to whether their intensity levels fall above or below the thresholds, helping localize potential abnormalities.

Career Highlights

Deans’s listed affiliation is the University of South Florida. His patent reflects an application of statistical image analysis to medical imaging, with a method designed to support the detection and localization of potential abnormalities.

Collaborations

The listed collaborators associated with this work are John J. Heine and Laurence P. Clarke.

Conclusion

Stanley R. Deans’s patent describes a multiresolution statistical approach to analyzing medical images and identifying regions that may warrant further attention.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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