System for providing diagnostic script for scalp and hair loss condition based on artificial intelligence algorithm
AssigneeROOTONIX Co., Ltd.
InventorDae Kwon Jung
Life of this patent
Estimating the term…
Abstract
A system for providing diagnostic script for scalp and hair loss condition, includes a data receiving unit that receives scalp photographed image data of a patient to be diagnosed with a scalp condition and a hair loss condition; a classification unit that inputs the received scalp photographed image data of the patient into a first learning model that has been learned to acquire result values for a plurality of measurement items and classifies the scalp condition and the hair loss condition using the acquired result values; and a diagnosis result providing unit that inputs information on the classified scalp condition and hair loss condition into a second learning model and outputs diagnosis script data.
Claims8
A system for providing diagnostic script, comprising:
- a data receiving unit configured to receive scalp photographed image data of a patient to be diagnosed with a scalp condition and a hair loss condition;
- a classification unit configured to input the received scalp photographed image data of the patient into a first learning model to acquire result values for a plurality of measurement items and classify the scalp condition and the hair loss condition using the acquired result values;
- a diagnosis result providing unit configured to input information on the classified scalp condition and hair loss condition into a second learning model and output diagnosis script data for the patient;
- a data collection unit configured to collect a plurality of scalp photographed images and a plurality of expert diagnosis scripts;
- a labeling data collection unit configured to collect labeling data including scores and keywords for each measurement item corresponding to the scalp photographed images and the expert diagnosis scripts;
- and
- a learning unit configured to:
- build the first learning model using the scalp photographed images and the labeling data;
- build the second learning model using the expert diagnosis scripts and labeling data;
- cause the first learning model to learn to output the result values of the plurality of measurement items;
- and
- cause the second learning model to learn to generate a diagnostic script using a classification result which is output through the first learning model,
- wherein, to acquire a hair thickness among the measurement items, the classification unit is configured to:
- extract a plurality of first pixels having a value greater than a preset reference pixel value, wherein the reference pixel value represents a pixel value to be identified as a hair;
- count the extracted first pixels to extract the number of the first pixels;
- and
- acquire the hair thickness by using the number of the extracted first pixels and a length of the first pixel, wherein the length of the first pixel is calculated using a ratio of a hair thickness in the scalp photographed image to an actual hair thickness.
Dependencies are inferred from the claim text.