Rochester, NY, United States of America

Lynn M Fletcher-Heath


Average Co-Inventor Count = 2.8

ph-index = 2

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 2008-2011

Loading Chart...
4 patents (USPTO):Explore Patents

Title: Innovations by Lynn M Fletcher-Heath

Introduction

Lynn M Fletcher-Heath is a prominent inventor based in Rochester, NY (US). She has made significant contributions to the field of medical imaging, particularly in breast tissue analysis. With a total of 4 patents to her name, her work has advanced the understanding and assessment of breast tissue density.

Latest Patents

One of her latest patents is titled "Method for classifying breast tissue density using computed image features." This innovative method involves obtaining mammography image data and segmenting the image to identify the breast tissue region. A plurality of regions within this area is analyzed to compute various image features, ultimately classifying the breast tissue density based on these features. Another notable patent is "Assessment of radiographic systems and operators using task-based phantom." This method focuses on image quality assessment of digital radiography systems by extracting individual targets from a phantom image and recording operator responses related to image appearance.

Career Highlights

Lynn M Fletcher-Heath is currently associated with Carestream Health, Inc., where she continues to develop and refine her innovative techniques in medical imaging. Her work has not only contributed to technological advancements but has also improved patient care through enhanced imaging accuracy.

Collaborations

Some of her notable coworkers include Xiaohui Wang and Michael D Heath, who have collaborated with her on various projects within the field of medical imaging.

Conclusion

Lynn M Fletcher-Heath's contributions to medical imaging through her patents and collaborative efforts highlight her role as a leading inventor in the industry. Her innovative methods are paving the way for improved diagnostic techniques and better patient outcomes.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…