Fujifilm Corporation

Shumpei Kamon

Masaaki Oosake

Satoshi Naito

Goro Miura

Hirona Yumbe

Misaki Kawahara

The present invention provides a trained model conversion method, an inference method, a trained model conversion apparatus, a trained model, and an inference apparatus that are capable of reducing the cost of processing by a regularization layer. A trained model conversion method according to an aspect of the present invention includes a convolutional layer generation step of generating, for a trained convolutional neural network including at least one regularization layer, a second convolutional layer on the basis of a trained parameter of the regularization layer and a trained parameter of a first convolutional layer adjacent to the regularization layer; and a converted model generation step of replacing the regularization layer and the first convolutional layer with the second convolutional layer to generate a converted model which is a converted trained model.

Trained model conversion method, inference method, trained model conversion apparatus, trained model, and inference apparatus

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.

Medical image processing apparatus, medical image processing method, and program

An apparatus, a system, a method, and a program for medical image processing are provided. The apparatus includes one or more processors configured to acquire an endoscopic image generated through imaging of a living body, perform classification of lesion regions contained in the endoscopic image into two or more classes, identify a classification contributing region in the endoscopic image, the classification contributing region contributing, with a degree of contribution, to the classification of one of the lesion regions contained in the endoscopic image, generate a region image displaying a region in the endoscopic image, the region image displaying the classification contributing region with a density or a heat map according to the degree of contribution, and display the region image along with the endoscopic image on a monitor, where the region image is displayed at a position different from a position at which the endoscopic image is displayed.

Medical image processing apparatus, medical image processing system, medical image processing method, and program

Provided is a medical image processing device, a processor device, a medical image processing method, and a computer-readable medium capable of obtaining a recognition result related to a region of interest and storing and displaying a medical image in which the recognition result matches an intention of an operator. The medical image processing device includes an image acquisition unit () that acquires a medical image (), an acquired image storage unit (A) that stores the acquired medical image, a recognition processing unit (A) that performs recognition processing on the acquired medical image, a user input signal acquisition unit () that acquires a user input signal transmitted according to an operation of a user, and a selection unit () that selects a medical image from medical images for which a result of the recognition processing related to a region of interest is obtained in a case where the user input signal is acquired.

Medical image processing device, processor device, endoscope system, medical image processing method, and program

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.

Medical image processing apparatus, endoscope system, and medical image processing method

A trained first model is generated through first learning using a first learning image group constituted of a normal image which is a medical image having no region of interest. An input image group including at least the medical image different from the first learning image group is input to the trained first model, and abnormality detection is performed. The extracted image used for learning to prevent erroneous recognition is sorted according to a result of the abnormality detection, and second learning using a second learning image group including at least the extracted image is performed. A second model that detects the region of interest is generated through the second learning.

Medical image learning method and medical image processing device

There are provided a medical image processing device, an endoscope system, a medical image processing method, and a program which detect an optimal lesion region according to an in-vivo position of a captured image. Images at a plurality of in-vivo positions of a subject are acquired from medical equipment that sequentially captures and displays in real time the images; positional information indicating the in-vivo position of the acquired image is acquired; from among a plurality of region-of-interest detection units that detect a region of interest from an input image and correspond to the plurality of in-vivo positions, respectively, a region-of-interest detection unit corresponding to the position indicated by the positional information is selected; and the selected region-of-interest detection unit detects a region of interest from the acquired image.

Medical image processing device, endoscope system, medical image processing method, and program

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.

Medical image processing apparatus, processor device, endoscope system, medical image processing method, and program

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.

Medical image processing apparatus, medical image processing method, program, and endoscope system

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.

Medical image processing apparatus, medical image processing method, program, and diagnosis support apparatus

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. A medical image processing apparatus () includes: a trainer () that performs additional training for a first computer-aided diagnosis device on the basis of an input medical image; an evaluation unit that compares a second computer-aided diagnosis device obtained by the additional training with the first computer-aided diagnosis device and evaluates whether learning difference information about the additional training contributes to improvement of performance of the first computer-aided diagnosis device; a communication determination unit that determines, on the basis of a result of evaluation, whether the learning difference information is to be communicated; and a communication unit () that outputs the learning difference information in accordance with a result of determination by the communication determination unit.

Medical image processing apparatus, medical image processing method, machine learning system, and program

An object of the present invention is to provide an image processing device, an endoscope system, and an image processing method capable of efficiently saving a moving image in which a lesion is shown. An image processing device according to a first aspect of the present invention includes a moving image acquisition unit that acquires an examination moving image by an endoscope, a report information acquisition unit that acquires report information on an examination corresponding to the examination moving image, the report information including at least one of subject information of a still image acquired in the examination or acquisition time information of the still image, a report information analysis unit that extracts at least one of subject information of a lesion image or acquisition time information of the lesion image from the report information, and a moving image saving unit that saves a lesion moving image, which is a moving image for a time range in which the lesion image is included in the examination moving image, on the basis of a result of the extraction.

Image processing device, endoscope system, and image processing method

There are provided a medical image processing apparatus, a medical image processing system, a medical image processing method, and a program that allow an observer to grasp a region that contributes to classification in automatic classification of a medical image. A medical image processing apparatus includes an image acquisition unit () that acquires a captured image () generated through imaging of a living body; a classification unit () that classifies the captured image into two or more classes; an image generation unit () that generates a region image depicting a location of a region that contributes to classification performed using the classification unit in the captured image subjected to the classification performed using the classification unit; and a display signal transmission unit () that transmits, to a display device, a display signal representing the captured image, a classification result derived using the classification unit, and the region image. The display signal transmission unit transmits, to the display device, a display signal for displaying the region image separately from the captured image.

An endoscope processor device generates first video signals. A recognition processing processor device generates second video signals by reflecting a result of recognition processing based on the first video signals. A display displays any one of the second video signals or the first video signals switched from the second video signals on the basis of first video switching signals from the recognition processing processor device. The display displays that a result display of the recognition processing is being stopped in a case where the result display of the recognition processing by the second video signals is stopped.

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Kanagawa, Japan

Shumpei Kamon