Canon Kabushiki Kaisha

Ruishan Guo

Yaohai Huang

Yong Ni

Qinan Hu

This invention provides a method for extracting a diagnosis object from a medical document comprises: extracting, from an input medical document, body part entities and at least one type of non-body-part entities and the relations between the body part entities and the non-body-part entities; obtaining, for each pair of all possible pairs of the non-body-part entities, a relevance score between two non-body-part entities within one pair, wherein the relevance score is obtained by using the relations between the two non-body-part entities within one pair and one or more body part entities in a plurality of historical medical documents; clustering the non-body-part entities in the input medical document into one or more clusters based on the relevance scores of the all possible pairs; and outputting one or more body part entities related to one or more non-body-part entities clustered in each of the clusters as one diagnosis object.

Method and apparatus for extracting diagnosis object from medical document

The present invention disclosed a web based OCR system including an OCR service apparatus that communicates with a web browser of a client apparatus and an optical character recognition method for controlling the OCR service apparatus that communicates with the web browser of the client apparatus, the OCR service apparatus comprising: a storage unit for storing an image; a sending unit for sending the image to the web browser of said client apparatus; a receiving unit for receiving a control instruction of a character recognition process from the web browser of said client apparatus, wherein the received control instruction is generated in the web browser of said client apparatus; and a character recognition processing unit for executing the character recognition process for the image based on the control instruction. With such optical character recognition method and system based on web service application on a network, the user can get control of the recognition process flow and the efficiencies are improved.

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Beijing, China

Ruishan Guo