Image processing device, image processing method, and storage medium

An image processing method executed by a computer, the image processing method comprising:

• classifying each captured image acquired in time series by photographing an inspection target by a photographing unit provided in an endoscope, according to whether or not the each captured image includes an attention part to be paid attention to based on a classification model, wherein the classification model is trained by machine learning to output information regarding presence or absence of the attention part in the image in case where an image is inputted to the classification model, and wherein the classification model is configured to output a confidence score regarding the presence or absence of the attention part;
• in a case where a condition regarding the confidence score is satisfied consecutively for a predetermined number of captured images in the time series, selecting a target image to be subjected to extraction of a region of the attention part from the predetermined number of the captured images, based on the confidence score;
• and
• extracting the region of the attention part from the target image.

A non-transitory computer readable storage medium storing a program executed by a computer, the program causing the computer to:

• classify each captured image acquired in time series by photographing an inspection target by a photographing unit provided in an endoscope, according to whether or not the each captured image includes an attention part to be paid attention to based on a classification model, wherein the classification model is trained by machine learning to output information regarding presence or absence of the attention part in the image in case where an image is inputted to the classification model, and wherein the classification model is configured to output a confidence score regarding the presence or absence of the attention part;
• in a case where a condition regarding the confidence score is satisfied consecutively for a predetermined number of captured images in the time series, select a target image to be subjected to extraction of a region of the attention part from the predetermined number of the captured images, based on the confidence score;
• and
• extract the region of the attention part from the target image.