Endoscopic examination support apparatus, endoscopic examination support method, and recording medium

An endoscopic examination support method comprising:

• acquiring an endoscopic image taken by an endoscope;
• detecting a lesion candidate from the endoscopic image, using a first machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine;
• detecting a lesion candidate from the endoscopic image, using a second machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine;
• and
• outputting at least one of a detection result obtained using the first machine learning model and a detection result obtained using the second machine learning model
• wherein the predetermined state of the large intestine is an inflammation state, and
• wherein the second machine learning model is a model that learned a relationship between the lesion candidate and an inflammation state of the large intestine.

A non-transitory computer-readable recording medium storing a program, the program causing a computer to perform processing of:

• acquiring an endoscopic image taken by an endoscope;
• detecting a lesion candidate from the endoscopic image, using a first machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine;
• detecting a lesion candidate from the endoscopic image, using a second machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine;
• and
• outputting at least one of a detection result obtained using the first machine learning model and a detection result obtained using the second machine learning model
• wherein the predetermined state of the large intestine is an inflammation state, and
• wherein the second machine learning model is a model that learned a relationship between the lesion candidate and an inflammation state of the large intestine.