Abstract: Provided are a medical image processing apparatus and a medical image processing method that effectively display an observation state indication related to the comprehensiveness of observation while suppressing a decrease in the visibility of an endoscopic image. The medical image processing apparatus is a medical image processing apparatus including a processor and a memory. The processor is configured to acquire a plurality of medical images in a time-series manner, make a determination of an observation state in units of a small area of a photographic subject on the basis of the medical images, cause the memory to store a result of the determination, and upon an observation state of the photographic subject being changed, cause a monitor to display an observation state indication of the photographic subject, the observation state indication being based on the result of the determination stored in the memory.

Abstract: A medical image processing apparatus 10 includes a medical image acquisition unit 11 that acquires a medical image 50 including a subject image, a medical image analysis result acquisition unit 12 that acquires an analysis result obtained by analyzing the medical image 50, a display unit 13 that displays at least one medical image 50 and at least information on presence or absence of a lesion or a type of a lesion in the analysis result acquired by the medical image analysis result acquisition unit 12, and an input receiving unit 14 that receives an input regarding whether or not the information on presence or absence of a lesion or a type of a lesion included in the analysis result is correct.

Abstract: A medical image processing apparatus having a processor configured to: acquire a plurality of medical images each including a subject image; detect a region of interest for each medical image; determine whether or not a plurality of the regions of interest detected for each medical image are regions including the same target; and count the number of the regions of interest excluding an overlap of the regions determined to include the same target among the plurality of the regions of interest.

Abstract: A region-of-interest detection unit detects a region of interest from a medical image. A display control unit keeps displaying a detection result of the region of interest for a certain period of time on a monitor, in a case where a position of the region of interest is changed in accordance with a movement of the region of interest, at a detection position of the region of interest detected by the region-of-interest detection unit before the position of the region of interest is changed.

Abstract: A medical image processing apparatus includes a medical image acquisition unit that acquires the medical image including a subject image, a medical image analysis result acquisition unit that acquires an analysis result obtained by analyzing the medical image, a display unit that displays at least one medical image and at least information on presence or absence of a treatment tool or a type of a treatment tool in the analysis result acquired by the medical image analysis result acquisition unit, and an input receiving unit that receives an input regarding whether or not the information on presence or absence of a treatment tool or a type of a treatment tool included in the analysis result is correct.

Abstract: A diagnosis support system having a processor configured to acquire medical images; detect a medicine and/or equipment used when the medical images are captured, from the medical images by image recognition; detect a region of interest from the medical images by image recognition; assign, to the medical image from which the medicine and/or equipment is detected, first detection information indicating the detected medicine and/or equipment; and assign, to the medical image from which the region of interest is detected, second detection information indicating the detected region of interest, display, on a display device, the medical images in a list in a display form according to the first detection information and the second detection information.

Abstract: Provided is an endoscope system capable of easily re-searching for a detected region of interest, and an operation method for the endoscope system. An endoscope system 10 includes an endoscopic image acquisition unit 54, a region-of-interest detecting unit 80, a position information acquisition unit 81, and a display unit 18. The endoscopic image acquisition unit 54 acquires an endoscopic image acquired by capturing an image of a lumen with an endoscope 12. The region-of-interest detecting unit 80 detects a region of interest in the lumen by using the endoscopic image. The position information acquisition unit 81 acquires position information of the region of interest detected by the region-of-interest detecting unit 80. The display unit 18 displays the position information of the region of interest.

Abstract: An object of the invention is to provide an image learning device, an image learning method, a neural network, and an image classification device which can support appropriate classification of an image. In the image learning device according to an aspect of the invention, the neural network performs a first task of classifying a recognition target in a medical image and outputting a classification score as an evaluation result, and a second task different from the first task. The neural network updates a weight coefficient on the basis of a comparison result between the classification score output for the medical image of a first image group and a ground truth classification label, and does not reflect the classification score output for the medical image of a second image group in an update of the weight coefficient, for the first task.

Abstract: A medical image processing apparatus includes a recognition unit that detects a region of interest from an acquired medical image and classifies the region of interest; a display control unit that causes emphasis display for emphasizing the region of interest and a classification for the region of interest to be displayed in a screen identical to a screen for displaying an observation target included in the medical image; and an observation image switching unit that switches whether to display consecutive images or to display a still image by using a display device. In a case where consecutive image display of an observation image is switched to still image display by the observation image switching unit, the display control unit makes a change for reducing visual recognizability of at least any of the emphasis display or the classification compared with a case of the consecutive image display of the observation image.

Abstract: A medical image processing apparatus including a processor configured to acquire a medical image from a medical apparatus that sequentially captures images of a plurality of areas in a living body of a subject, acquire area information indicating an area in the living body in the acquired medical image, perform recognition on the medical image as a recognizer; and cause a display apparatus to display a result of the recognition in a mode suitable for the area indicated by the area information.

Abstract: A medical image processing apparatus includes a recognition unit that detects a region of interest from a medical image and classifies the region of interest, a display control unit that causes emphasis display of the region of interest and a classification for the region of interest to be displayed in a screen for displaying the observation target, and a change determining unit that determines at least any of whether to change a display style of the emphasis display or whether to change a display style of the classification. The display control unit changes the display style of the emphasis display in the case where it is determined to change the display style of the emphasis display and changes the display style of the classification in the case where it is determined to change the display style of the classification.

Abstract: A diagnosis support system having an image sensor that captures a medical image and a processor configured to capture medical images of which imaging times are different, store any of medical images as representative images, store the medical images excluding the representative images as groups of neighboring images such that each the groups of neighboring images are associated with the representative images, display the representative images in a list on a display device, receive a selection from the representative images displayed in the list, extract a neighboring image for diagnosis from among a group of neighboring images which is associated with a selected representative image, and display the extracted neighboring image for diagnosis on the display.

Abstract: Provided are a medical image processing apparatus, a medical image processing method, a program, and a diagnosis support apparatus that appropriately control whether or not to report reporting information of a medical image independently of a user operation. The above object is achieved by a medical image processing apparatus including a reporting control unit that performs control to bring reporting information included in a medical image into either a reporting state in which the reporting information is reported by a reporting unit or a non-reporting state in which the reporting information is not reported by the reporting unit. The reporting control unit brings the reporting information into the non-reporting state in a case where the medical image satisfies a non-reporting condition and brings the reporting information into the reporting state after a non-reporting time has elapsed from when the medical image does not satisfy the non-reporting condition.

Abstract: The present invention aims to provide a medical image processing apparatus, a medical image processing method, a program, and an endoscope system that report a region of interest without interrupting observation of a medical image. The above problem is solved by a medical image processing apparatus including: an emphasis processing unit that emphasizes a position of a region of interest included in a plurality of medical images sequentially displayed on a display unit; and a transition time setting unit that sets a transition time in accordance with a feature quantity of the region of interest, in which the emphasis processing unit emphasizes the position of the region of interest at a first emphasis level and, after the transition time has elapsed from emphasis at the first emphasis level, emphasizes the position of the region of interest at a second emphasis level relatively lower than the first emphasis level.

Abstract: The present invention aims to provide a medical image processing apparatus, a medical image processing method, a program, and an endoscope system that report a region of interest without interrupting observation of a time-series image. The above problem is solved by a medical image processing apparatus including: a coordinates calculating unit that, based on region-of-interest information indicating a region of interest in a time-series image, calculates one or more sets of coordinates of interest indicating a position of the region of interest in the time-series image; and a reporting information display control unit that, based on the region of interest, superposes a figure on the time-series image, in which the reporting information display control unit increases a size of the figure and decreases a ratio of the size of the figure to a size of the region of interest as the size of the region of interest is larger.

Abstract: A region-of-interest detection unit detects a region of interest from a medical image. A display control unit keeps displaying a detection result of the region of interest for a certain period of time on a monitor, in a case where a position of the region of interest is changed in accordance with a movement of the region of interest, at a detection position of the region of interest detected by the region-of-interest detection unit before the position of the region of interest is changed.

Abstract: An object of the invention is to provide an image learning device, an image learning method, a neural network, and an image classification device which can support appropriate classification of an image. In the image learning device according to an aspect of the invention, the neural network performs a first task of classifying a recognition target in a medical image and outputting a classification score as an evaluation result, and a second task different from the first task. The neural network updates a weight coefficient on the basis of a comparison result between the classification score output for the medical image of a first image group and a ground truth classification label, and does not reflect the classification score output for the medical image of a second image group in an update of the weight coefficient, for the first task.

Abstract: An object of the present invention is to provide an image processing method and an image processing apparatus that make it possible to efficiently learn images having different identities. In learning and recognition using a hierarchical network, it is known that, based on experiences, a layer near the input functions as a feature extractor for extracting a feature that is necessary for recognition, and a layer near the output performs recognition by combining extracted features. Thus, performing learning by setting a higher learning rate to a layer near the input side of the hierarchical network than a learning rate in a layer near the output side in second learning processing as in an aspect of the present invention corresponds to mainly relearning (adjusting) a feature extraction portion in data sets having different identities. Accordingly, the difference between data sets can be absorbed, and learning can be performed more efficiently than in the case of simply performing transfer learning.

Abstract: There are provided a medical image processing apparatus, a medical image processing method, a machine learning system, and a program that can reduce the volume of communication and can reduce the processing load of retraining or additional training that is performed by a machine learning apparatus.

Abstract: Provided are an image processing device and a method for operating the same, and an endoscope processor device and a method for operating the same that accurately measure the blood vessel depth of blood vessels in an observation target. A data set including a plurality of items of measurement data in which blood vessel index values, such as blood vessel contrast and a plurality of blood vessel index value variation factors including the blood vessel depth are associated with each other is stored in a data set storage unit 97. A specific blood vessel index value variation factor other than the blood vessel depth is measured. The data set is narrowed to a sub-data set having the specific blood vessel index value variation factor. A blood vessel depth corresponding to a blood vessel index value calculated by the blood vessel index value calculation unit is found from the sub-data set.