Harrison, NY, United States of America

Mikhail Teverovskiy

USPTO Granted Patents = 4 

 

 

Average Co-Inventor Count = 3.0

ph-index = 4

Forward Citations = 170(Granted Patents)


Company Filing History:


Years Active: 2008-2010

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

Title: Mikhail Teverovskiy: Innovator in Automated Tissue Analysis

Introduction

Mikhail Teverovskiy is a notable inventor based in Harrison, NY (US). He has made significant contributions to the field of automated diagnosis and grading of tissue images. With a total of 4 patents to his name, Teverovskiy has developed innovative systems that enhance the accuracy and efficiency of pathological analysis.

Latest Patents

Teverovskiy's latest patents include groundbreaking technologies such as "Systems and methods for automated diagnosis and grading of tissue images." This invention provides automated diagnosis based on morphometric data extracted from tissue images. The morphometric data encompasses various aspects, including fractal dimension data, wavelet data, and color channel histogram data. Another significant patent is "Pathological tissue mapping," which focuses on the quantitative analysis of tissues. This technology enables the measurement of various parameters of objects found in tissue images, facilitating quicker pathological assessments.

Career Highlights

Throughout his career, Mikhail Teverovskiy has worked with esteemed organizations, including Aureon Laboratories, Inc. and Fundação D. Anna Sommer Champalimaud e Dr. Carlos Montez Champalimaud. His work in these companies has contributed to advancements in medical imaging and diagnostics.

Collaborations

Teverovskiy has collaborated with professionals such as Olivier Saidi and David Verbel, further enhancing his research and development efforts in the field of tissue analysis.

Conclusion

Mikhail Teverovskiy stands out as an influential inventor in the realm of automated tissue analysis. His innovative patents and career achievements reflect his commitment to improving diagnostic processes in pathology.

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