Sap Se

Ge Medical Systems Global Technology Company, LLC

Amit Saxena

Debashis Banerjee

Hari Babu Krishnan

Prasanna Kumar Govindappa

Pinaki Ghosh

Balaji Raghunathan

Krishna Hindhupur Vijay Sudheendra

David Herman

Shruthi Jinadatta

Gaurav Rathi

Anilkumar Tambali

Pravinth Ganesan

Gopal Biligeri Avinash

Prateek Arora

Kunnampally Gopalakrishnan Ramesh

A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Machine learning based document editing engine

An object of the present invention is to extract an image closest to a reference image from among a plurality of candidate images. A plurality of candidate images similar to the reference image are extracted from a plurality of images by utilizing granulometry. The plurality of candidate images is transformed based on the reference image. Mutual information shared by each of the transformed candidate images and the reference image is calculated. A candidate image sharing the largest amount of mutual information with the reference image is selected from among the plurality of candidate images.

Image processing method and apparatus for extracting an image

A system and a method for adjusting contrast and brightness in an image, e.g., an ultrasound image. The contrast and brightness are adjusted by processing global pixel intensity data to form a set of data representing a histogram. An algorithm is then employed to filter the pixel intensity values as a function of certain characteristics of the histogram data. The algorithm is designed to enhance contrast and brightness without affecting the near-field region in the ultrasound image. The filtering operations may be performed by a dedicated processor or by a fast general-purpose computer.

System and method for automatic adjustment of brightness and contrast in images

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Bengaluru, India

Amit Saxena