Apparatus and method for processing medical image using predicted metadata
AssigneeLunit Inc.
InventorsJong Chan PARK, Dong Geun YOO, Ki Hyun YOU, Hyeon Seob NAM, Hyun Jae LEE, Sang Hyup LEE
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Abstract
The present disclosure relates to a medical image analysis method using a processor and a memory which are hardware. The method includes generating predicted second metadata for a medical image by using a prediction model, and determining a processing method of the medical image based on one of first metadata stored corresponding to the medical image and the second metadata.
Claims20
A medical image analysis apparatus comprising:
- one or more processors;
- and
- a memory configured to store one or more instructions that when executed by the one or more processors cause the one or more processors to execute operations, the operations comprising:
- receiving a medical image;
- obtaining metadata based on the medical image;
- determining, based on the metadata, whether the medical image is suitable for analysis by a machine learning model;
- and
- applying the medical image to the machine learning model when the metadata satisfies a predetermined condition, and not applying the medical image to the machine learning model when the metadata does not satisfy the predetermined condition.
A medical image analysis method executed by one or more processors, the method comprising:
- receiving a medical image;
- obtaining metadata based on the medical image;
- determining, based on the metadata, whether the medical image is suitable for analysis by a machine learning model;
- and
- applying the medical image to the machine learning model when the metadata satisfies a predetermined condition, and not applying the medical image to the machine learning model when the metadata does not satisfy the predetermined condition.
A non-transitory computer-readable medium storing one or more instructions that when executed by one or more processors cause the one or more processors to execute operations, the operations comprising:
- receiving a medical image;
- obtaining metadata based on the medical image;
- determining, based on the metadata, whether the medical image is suitable for analysis by a machine learning model;
- and
- applying the medical image to the machine learning model when the metadata satisfies a predetermined condition, and not applying the medical image to the machine learning model when the metadata does not satisfy the predetermined condition.
Dependencies are inferred from the claim text.