Ge Precision Healthcare LLC

Vignesh Singh

Kavitha Manickam

Sandeep Lakshmipathy

Ramesh Venkatesan

Jignesh Dholakia

Rajagopalan Sundaresan

Rakesh Shrikant Shevde

Prakruthi Jakathe

Krishnan Varadarajan

A method and system for automatically labeling a spine image is disclosed. The method includes receiving an input spine image and analyzing image features of the input spine image by a deep neural network. The method further includes generating a mask image corresponding to the input spine image by the deep neural network based on image characteristics of a training image dataset. A region of interest in the mask image comprises vertebral candidates of the spine. The training image dataset comprises a plurality of spine images and a plurality of corresponding mask images. The method further includes associating labels with a plurality of image components of the mask image and labeling the input spine image based on labels associated with the mask image.

Methods and systems for labeling whole spine image using deep neural network

Methods and systems for addressing malfunction of a medical imaging device are disclosed. The method includes classifying a type of an image artifact in a medical image acquired by the medical imaging device by using a trained machine learning model. The method also includes analyzing system data associated with acquisition of the medical image to identify one or more system parameters that might have contributed to the type of image artifact and providing an action for addressing the image artifact based on the identified one or more system parameters.

Machine learning based method and system for analyzing image artifacts and imaging system failure

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Bengaluru, India

Vignesh Singh