Systems and Methods for Identifying Radiation Events in Radiographs
AssigneeIDEXX Laboratories, Inc.
InventorsBenjamin Schestopol, Pavan Durgempudi, Todd Joyce, Stephanie Mills
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Abstract
The present disclosure is related to methods and systems for identifying a user radiation exposure event by providing at least one radiographic image of a patient; using a machine learning algorithm, via execution by a computing device, to process the radiographic image(s) for identification of non-patient anatomy in the radiographic image(s); associating, by the computing device, a label with the identified non-patient anatomy; and generating a data file including the radiographic image(s) of the patient with the labeled identified non-patient anatomy.
Claims21
A method of identifying a user radiation exposure event comprising:
- providing at least one radiographic image of a patient;
- using a machine learning algorithm, via execution by a computing device, to process the radiographic image(s) for identification of non-patient anatomy in the radiographic image(s);
- associating, by the computing device, a label with the identified non-patient anatomy;
- and
- generating a data file including the radiographic image(s) of the patient with the labeled identified non-patient anatomy.
A non-transitory computer-readable medium storing a set of instructions for identifying a user radiation exposure event, the set of instructions comprising:
- one or more instructions that, when executed by one or more processors of a device, cause the device to:
- provide at least one radiographic image of a patient;
- use a machine learning algorithm, via execution by a computing device, to process the radiographic image(s) for identification of non-patient anatomy in the radiographic image(s);
- associate, by the computing device, a label with the identified non-patient anatomy;
- and
- generate a data file including the radiographic image(s) of the patient with the labeled identified non-patient anatomy.
A system for identifying a user radiation exposure event comprising one or more processors configured to:
- provide at least one radiographic image of a patient;
- use a machine learning algorithm, via execution by a computing device, to process the radiographic image(s) for identification of non-patient anatomy in the radiographic image(s);
- associate, by the computing device, a label with the identified non-patient anatomy;
- and
- generate a data file including the radiographic image(s) of the patient with the labeled identified non-patient anatomy.
Dependencies are inferred from the claim text.