Sydney, Australia

David Vuong


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by David Vuong in Medical Image Analysis

Introduction

David Vuong is an innovative inventor based in Sydney, Australia. He has made significant contributions to the field of medical image analysis through his patented technology. His work focuses on enhancing the detection of visual findings in anatomical images, which can greatly improve diagnostic processes in healthcare.

Latest Patents

David Vuong holds a patent for "Systems and methods for automated analysis of medical images." This patent relates to detecting visual findings in anatomical images. The methods involve inputting anatomical images into a neural network to output a feature vector. The neural network then computes an indication of visual findings present in the images by utilizing a dense layer that takes the feature vector as input. The neural network is trained on a dataset that includes anatomical images and associated labels for each visual finding. The findings may be organized as a hierarchical ontology tree, allowing for more structured analysis. The training process also includes evaluating the performance of the neural networks in detecting visual findings and negation pairs, which consist of images where one visual finding is identified in the absence of another.

Career Highlights

David Vuong is currently employed at Annalise AI Pty Ltd, where he continues to develop innovative solutions in medical imaging. His work is pivotal in advancing the capabilities of automated analysis in healthcare settings.

Collaborations

Some of his notable coworkers include Dang-Dinh-Ang Tran and Jarrel Seah, who contribute to the collaborative efforts at Annalise AI Pty Ltd.

Conclusion

David Vuong's contributions to medical image analysis through his patented technology exemplify the impact of innovation in healthcare. His work not only enhances diagnostic accuracy but also paves the way for future advancements in the field.

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