Chicago, IL, United States of America

Yali Amit


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 101(Granted Patents)


Company Filing History:


Years Active: 2000

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1 patent (USPTO):Explore Patents

Title: Yali Amit: Innovator in Medical Imaging Technology

Introduction

Yali Amit is a prominent inventor based in Chicago, IL (US). She has made significant contributions to the field of medical imaging, particularly in the detection of nodules in digital chest radiographs. Her innovative approach utilizes advanced techniques to improve diagnostic accuracy.

Latest Patents

Yali Amit holds a patent for a method, apparatus, and storage medium for the detection of nodules. This patent describes a technique for discriminating between nodules and false positives in digital chest radiographs using a wavelet snake technique. The wavelet snake is a deformable contour designed to identify the boundary of relatively round objects. The method involves extracting portions of the nodule boundary using a multiscale edge representation, which is then fitted by a gradient descent procedure. This process allows for the deformation of the wavelet snake by adjusting its wavelet coefficients. The degree of overlap between the fitted snake and the multiscale edges serves as a fit quality indicator for distinguishing nodules from false detections.

Career Highlights

Yali Amit is associated with Arch Development Corporation, where she continues to advance her research and development efforts. Her work has garnered attention for its potential to enhance the accuracy of medical diagnoses, particularly in the early detection of lung cancer.

Collaborations

Yali has collaborated with notable professionals in her field, including Hiroyuki Yoshida and Shigehiko Katsuragawa. These collaborations have contributed to the refinement and application of her innovative techniques in medical imaging.

Conclusion

Yali Amit's contributions to medical imaging technology exemplify the impact of innovation in healthcare. Her patented methods are paving the way for improved diagnostic tools that can save lives through early detection.

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