Patents by Inventor Venkatesh N. Murthy

Venkatesh N. Murthy has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and system for classification of endoscopic images using deep decision networks
    Patent number: 10482313
    Abstract: A method and system for classification of endoscopic images is disclosed. An initial trained deep network classifier is used to classify endoscopic images and determine confidence scores for the endoscopic images. The confidence score for each endoscopic image classified by the initial trained deep network classifier is compared to a learned confidence threshold. For endoscopic images with confidence scores higher than the learned threshold value, the classification result from the initial trained deep network classifier is output. Endoscopic images with confidence scores lower than the learned confidence threshold are classified using a first specialized network classifier built on a feature space of the initial trained deep network classifier.
    Type: Grant
    Filed: September 29, 2016
    Date of Patent: November 19, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Venkatesh N. Murthy, Vivek Kumar Singh, Shanhui Sun, Subhabrata Bhattacharya, Kai Ma, Ali Kamen, Bogdan Georgescu, Terrence Chen, Dorin Comaniciu
  • METHOD AND SYSTEM FOR CLASSIFICATION OF ENDOSCOPIC IMAGES USING DEEP DECISION NETWORKS
    Publication number: 20180247107
    Abstract: A method and system for classification of endoscopic images is disclosed. An initial trained deep network classifier is used to classify endoscopic images and determine confidence scores for the endoscopic images. The confidence score for each endoscopic image classified by the initial trained deep network classifier is compared to a learned confidence threshold. For endoscopic images with confidence scores higher than the learned threshold value, the classification result from the initial trained deep network classifier is output. Endoscopic images with confidence scores lower than the learned confidence threshold are classified using a first specialized network classifier built on a feature space of the initial trained deep network classifier.
    Type: Application
    Filed: September 29, 2016
    Publication date: August 30, 2018
    Inventors: Venkatesh N. Murthy, Vivek Kumar Singh, Shanhui Sun, Subhabrata Bhattacharya, Kai Ma, Ali Kamen, Bogdan Georgescu, Terrence Chen, Dorin Comaniciu