Abstract: A medical image processing apparatus, a method, a program, a diagnosis supporting apparatus, and an endoscope system are provided. The medical image processing apparatus includes one or more processor configured to acquire medical images including a first medical image and a second medical image preceding the first medical image in time-series, display the medical images in time-series, emphasize regions of interest included in the medical images at set emphasis degrees, determine whether a first region of interest included in the first medical image is identical with a second region of interest included in the second medical image, and set one of the emphasis degrees for a displayed region of interest corresponding to the first region of interest to a relatively larger value than another of the emphasis degrees which is set preceding the one of the emphasis degrees in time-series in a case where the determination is affirmative.

Abstract: Provided are a medical image processing apparatus, a medical image processing method, a program, a diagnosis supporting apparatus, and an endoscope system that emphasize a region of interest in a medical image at an appropriate emphasis degree. The above problem is solved by a medical image processing apparatus including: an emphasis processing unit that emphasizes a region of interest included in a time-series medical image at a set emphasis degree; a total-time measuring unit that measures a total time during which the region of interest is emphasized; and an emphasis-degree setting unit that sets the emphasis degree to a relatively larger value as the total time is relatively longer.

Abstract: An image processing apparatus according to an aspect of the present invention is an image processing apparatus including a processor. The processor is configured to execute an image acquisition process for acquiring an image, a recognition process for recognizing a region of interest from the image, a notification information determination process for determining first notification information indicating a position of the region of interest in the image and second notification information indicating a type of the region of interest, and a notification position determination process for determining a notification position at which a notification of the second notification information is to be presented in the image, on the basis of pixel values in an area surrounding the region of interest in the image.

Abstract: An endoscopic image viewing support server includes an endoscopic image acquiring unit configured to acquire imaging information, a section-of-interest setting unit configured to estimate a degree of interest and classify a plurality of endoscopic images in accordance with the degree of interest, and an endoscopic image selecting unit configured to select an endoscopic image from each of sections of interest at a ratio based on the degree of interest. The section-of-interest setting unit is configured to determine an endoscopic image of interest from among the plurality of endoscopic images, and in a case where the plurality of endoscopic images are arranged in a chronological order, estimate the degree of interest for an endoscopic image in an endoscopic image group including the endoscopic image of interest by using image processing.

Abstract: Provided are a learning apparatus, a learning method, a program, a trained model, and an endoscope system that perform effective learning by using accurate ground-truth data. The learning apparatus 14 is a learning apparatus 14 having a recognizer implemented by a neural network, and a processor. The processor (CPU 41) acquires a learning image 53 and biopsy information associated with the learning image 53, the learning image 53 being obtained by capturing an image of an examination object, the biopsy information being information indicating a location where a biopsy for the examination object has been performed, generates ground-truth region data in which a region including the location where the biopsy is performed is set as a ground-truth region, on the basis of the biopsy information, and trains the recognizer that recognizes a region of interest by using the learning image 53 and the ground-truth region data.

Abstract: An object of the present invention is to provide a medical image processing apparatus, an endoscope system, a medical image processing method, and a program that assist a user in estimating an accurate size of a region of interest. A medical image processing apparatus according to an aspect of the present invention is a medical image processing apparatus including a processor. The processor is configured to acquire images in time-series, make a determination of whether a region of interest in each of the images is suitable for size estimation, and report, by using a reporting device, a result of the determination and operation assistance information for improving the result of the determination.

Abstract: An object of the present invention is to provide a medical image processing apparatus, an endoscope system, and a medical image processing method that are capable of causing a user to appropriately recognize an operation state of an assistance function. A medical image processing apparatus according to a first aspect of the present invention includes an image acquiring unit that acquires a chronological medical image; a recognizing unit that performs recognition of a region of interest in the acquired medical image; a reporting unit that performs reporting of a result of the recognition in at least one style and that, in response to a predetermined condition being satisfied after start of a reporting state of performing the reporting, is switched to a non-reporting state of not performing the reporting; and a switching notifying unit that provides a notification indicating that switching from the reporting state to the non-reporting state is to occur.

Abstract: The medical image processing apparatus includes: an image acquiring unit that acquires a medical image; a classification unit that classifies, on the basis of the medical image acquired by the image acquiring unit, the medical image or a region of interest included in the medical image; a notification information generating unit that generates, in accordance with a classification result of the classification, first notification information for display and second notification information for storage, the second notification information differing from the first notification information; and a storage that stores the medical image and the second notification information.

Abstract: Provided are a medical image processing apparatus, a medical image processing method, a program, a diagnosis supporting apparatus, and an endoscope system that emphasize a region of interest in a medical image at an appropriate emphasis degree. The above problem is solved by a medical image processing apparatus including: an emphasis processing unit that emphasizes a region of interest included in a time-series medical image at a set emphasis degree; a total-time measuring unit that measures a total time during which the region of interest is emphasized; and an emphasis-degree setting unit that sets the emphasis degree to a relatively larger value as the total time is relatively longer.