Seattle, WA, United States of America

Lingga Adidharma

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignees: Seattle Children's Hospital, University of Washington. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lingga Adidharma: Innovator in Image Classification Technology

Introduction

Lingga Adidharma is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of image classification, particularly in medical applications. His innovative methods have the potential to enhance the accuracy and efficiency of image analysis in surgical settings.

Latest Patents

Lingga Adidharma holds a patent for a method for classifying images. This method involves using a computational model to classify images from a source image stream as valid or invalid based on the presence of biological tissue or surgical tools. The process generates a condensed image stream that includes only the valid images. Additionally, the method employs a clustering algorithm to classify input images into two groups, utilizing labels to indicate the presence of surgical tools. The computational model is trained to identify valid images based on clarity and content.

Career Highlights

Throughout his career, Lingga has worked with prestigious institutions such as the University of Washington and Seattle Children's Hospital. His work in these organizations has allowed him to develop and refine his innovative image classification methods.

Collaborations

Lingga Adidharma has collaborated with notable colleagues, including Randall Bly and Christopher Young. Their combined expertise has contributed to advancements in the field of image analysis.

Conclusion

Lingga Adidharma is a pioneering inventor whose work in image classification technology is making a significant impact in the medical field. His innovative methods are paving the way for improved surgical image analysis and enhancing patient care.

Profile summary based on public USPTO records.
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