Jacob Goldberger

Title: Jacob Goldberger: Innovator in Medical Image Classification

Introduction

Jacob Goldberger is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of medical image classification, holding three patents that showcase his innovative approach to utilizing deep learning techniques in healthcare.

Latest Patents

Goldberger's latest patents include a method for weakly and fully labeled mammogram classification and localization using a dual branch deep neural network. This method allows for the classification of medical images, such as mammograms, by utilizing both weakly labeled and fully labeled data sets. The process involves receiving a whole medical image, extracting multiple image patches, and generating feature representations for classification. The detection branch computes malignant and benign distributions over the patches, resulting in a global probability for malignancy and benignity.

Another notable patent is a method for generating a category model for classifying medical images. This method involves providing a variety of medical images categorized into groups, generating an index of visual words based on local descriptors, and modeling a category model that maps the relationship between visual words and categorized groups. This innovative approach facilitates the categorization of images based on their local descriptors.

Career Highlights

Throughout his career, Jacob Goldberger has worked with notable companies such as Varonis Inc. and Ramot at Tel Aviv University Ltd. His experience in these organizations has contributed to his expertise in medical imaging and deep learning technologies.

Collaborations

Goldberger has collaborated with talented individuals in his field, including Yakov Faitelson and Ohad Korkus. These collaborations have further enhanced his research and development efforts in medical image classification.

Conclusion

Jacob Goldberger is a distinguished inventor whose work in medical image classification has the potential to significantly impact healthcare. His innovative patents and collaborations reflect his commitment to advancing technology in the medical field.