Image processing system, training method for training device, and storage medium

Abstract

An image processing system includes a processor configured to acquire, as a processing target image, an in-vivo image, operate in accordance with a trained model, and output a recognition result representing a result of recognition of a region of interest in the processing target image. The trained model is trained by having undergone pre-training using a first image group including images captured in a first observation method, and having undergone, after the pre-training, fine-tuning that uses a second image group including images captured in a second observation method, as well as that uses ground truth regarding the region of interest included in the second image group. The first observation method is an observation method using normal light as illumination light, and the second observation method is an observation method using special light as the illumination light or an observation method in which a pigment has been dispersed onto the subject.