Siemens Healthcare Gmbh

Venkatesh N Murthy

Dorin Comaniciu

Bogdan Georgescu

Terrence Chen

Ali Kamen

Shanhui Sun

Vivek Kumar Singh

Kai Ma

Subhabrata Bhattacharya

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.

Method and system for classification of endoscopic images using deep decision networks

Growing community of inventors

Amherst, MA, United States of America

Venkatesh N Murthy