Dental lesion information visualization method and system
AssigneeOsstem Implant Co., Ltd.
InventorJong Moon KIM
Life of this patent
Estimating the term…
Abstract
The present disclosure relates to a dental lesion detection method and a system to which the method is applied. A dental lesion information visualization method according to the present disclosure includes the steps of acquiring data of a lesion analysis model which outputs data on the type and location of a lesion included in a panoramic image obtained by capturing an image of the oral cavity of a patient, and inputting a panoramic image into the lesion analysis model to output data on the type and location of a lesion and a lesion detection confidence score.
Claims14
A dental lesion information visualization method performed by a computing system, comprising the steps of:
- inputting data on a panoramic image of a patient's oral cavity to a machine-learned lesion analysis model;
- determining a region of interest that contains a lesion in the panoramic image by using data output by the lesion analysis model;
- searching for a computed tomography (CT) image of the patient's oral cavity in response to user selection input on an indicator;
- executing a CT imaging module in response to determining that the CT image of the patient's oral cavity is not present based on the search result;
- and
- overlaying and displaying an indicator pointing to the region of interest on the panoramic image.
A dental lesion information visualization method performed by a computing system, comprising the steps of:
- acquiring data of a lesion analysis model that outputs data on a type and location of a lesion included in a panoramic image of a patient's oral cavity, the lesion analysis model comprising a first artificial neural network, a second artificial neural network, and a third artificial neural network;
- inputting data of the panoramic image to the first artificial neural network and performing segmentation processing on each tooth region included in the panoramic image by using data output from the first artificial neural network;
- inputting data of the segmentation-processed panoramic image to the second artificial neural network and identifying a lesion included in the panoramic image for each tooth by using data output from the second artificial neural network;
- and
- inputting an image of the tooth region with the identified lesion from the segmentation-processed panoramic image to the third artificial neural network and outputting data on the type and location of a lesion and a lesion detection confidence score by using data output from the third artificial neural network.
A dental lesion information visualization system comprising:
- one or more processors;
- and
- a memory configured to load one or more instructions,
- wherein the one or more processors, by executing the one or more stored instructions, perform operations including:
- inputting data on a panoramic image of a patient's oral cavity to a machine-learned lesion analysis model;
- determining a region of interest in the panoramic image by using data output by the lesion analysis model;
- overlaying and displaying an indicator pointing to the region of interest on the panoramic image;
- generating a lesion detection list using the data output by the lesion analysis model;
- and
- displaying the lesion detection list together with the panoramic image.
Dependencies are inferred from the claim text.