Ge Precision Healthcare LLC

Utkarsh Agarwal

Rakesh Mullick

Krishna Seetharam Shriram

Vikram Reddy Melapudi

Rahul Kumar

Bipul Das

Sohan Rashmi Ranjan

Prasad Sudhakar

Nikolaos Georgakopoulos

Satyendra Tiwari

Pavan Belani

Srinivas Reddy Kasu

Systems and methods of reconstructing execution call flows to detect anomalies are provided. A device can establish call flows using information extracted from a log file. Each of the call flows can identify information from the log file of a call flowing through a plurality of modules. The device can identify a count of a number of occurrences of one or more keywords in information of each call flow. The device can generate a vector of numbers for each call flow based at least on the count for the one or more keywords for that call flow. The device can classify each call flow into one or more clusters that indicate whether an operation of the call flow is anomalous. The device can classify each call flow using the vector of numbers for each call flow.

Reconstructing execution call flows to detect anomalies

Techniques are provided for generating enhanced image representations from original X-ray images using deep learning techniques. In one embodiment, a system is provided that includes a memory storing computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a reception component, an analysis component, and an artificial intelligence component. The analysis component analyzes the original X-ray image using an AI-based model with respect to a set of features of interest. The AI component generates a plurality of enhanced image representations. Each enhanced image representation highlights a subset of the features of interest and suppresses remaining features of interest in the set that are external to the subset.

Generating enhanced x-ray images using constituent image

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Bengaluru, India

Utkarsh Agarwal