The present disclosure relates to a method for generating a learning model, a learned model, a program, and a controller of a bladder endoscope in which the program or the model is recorded. The method including: acquiring, as teaching data, endoscope image data on a Hunner lesion in a bladder; and generating the learning model by using the teaching data such that a bladder endoscope image serves as an input and the position indication of a Hunner lesion in the bladder endoscope image serves as an output. The program causing a computer to perform acquiring endoscope image data on a Hunner lesion in a bladder, inputting a target bladder endoscope image to a learning model in which a bladder endoscope image serves as an input and position-indication data on a Hunner lesion in an endoscope image serves as an output, and outputting the position indication of the Hunner lesion.

In one embodiment, a medical system includes a catheter configured to be inserted into a heart of a living subject, and including electrodes configured to capture electrical activity of the heart at respective position in the heart, a display, and processing circuitry configured to receive position signals from the catheter, and in response to the position signals compute the respective positions of the electrodes, generate an anatomical map responsively to respective ones of the computed positions, find an anatomical feature of the heart and a position of the anatomical feature responsively to the respective positions of, and electrical activity captured by, respective ones of the electrodes, automatically segment the anatomical map responsively to the found position of the anatomical feature, and render the anatomical map to the display.

According to a method for virtual enhancement of a camera image, a camera image depicting an object is generated. A geometric description of a virtual auxiliary object as a surface in space and a pose of the auxiliary object with respect to the object are specified, wherein the auxiliary object separates part of the object from the rest of the object. An enhanced image is generated based on a superimposition of the camera image with a representation of the auxiliary object depending on the geometric description and the pose of the auxiliary object by a computing unit and displayed on a display device. The enhanced image is generated and displayed in such a way that the auxiliary object has a spatially variable transparency.

An endoscope system includes a processor including an image processing unit that obtains an inflammation evaluation value in which a degree of inflammation of a biological tissue is digitized on the basis of information of a color component of an image of the biological tissue, from the image that is obtained by imaging the biological tissue, and a monitor displaying the inflammation evaluation value. The image processing unit includes a blood vessel region determination unit obtaining certainty of a blood vessel region of the biological tissue in the image, a pixel evaluation value generation unit obtaining a pixel evaluation value by performing digitization processing with respect to each of the pixels of the image, a pixel evaluation value adjustment unit calculating an adjustment value in which the pixel evaluation value is reduced as the certainty of the blood vessel region increases.

Image rotation in an endoscopic hyperspectral, fluorescence, and/or laser mapping imaging system is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a rotation sensor for detecting an angle of rotation of a lumen relative to a handpiece of an endoscope. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of a hyperspectral emission, a fluorescence emission, and/or a laser mapping pattern.

Arthroscopes and laparoscopes are available in several lens cuts to cover different clinical situations of interest, with the surgeon having to exchange the optics in order to change the direction of view of the camera. The presently disclosed embodiments disclose real-time image processing systems and methods that enable the user to arbitrarily change the direction of view of a surgical camera with the advantage of avoiding the disruption in workflow caused by the physical exchange of the optics. In addition, the presently disclosed embodiments disclose performing zoom along an arbitrary viewing direction (directional zoom) that enables to increase the scale of a region of interest without decreasing the overall field-of-view or losing image contents.

A generation unit that generates an output image by correcting a first image based on deterioration of the first image due to a substance generated during surgery estimated based on the first image that is an image regarding surgery and a second image that is an image prior to the first image is included.

There is provided an image processing device comprising a processor, in which the processor acquires a plurality of endoscopic images obtained by picking up images of an observation target with an endoscope, calculates a raw score related to a determination of a severity or a stage of a disease of the observation target, on the basis of each of the endoscopic images, decides a final score on the basis of the raw score, and performs control to display the final score and/or a change over time of the final score in real time on a display.

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.

An image reception unit receives a still image acquired by an endoscope system. The still image combination unit performs still image collation processing for collating an internal still image and an external still image out of the still images, combines the internal still image with the external still image on the basis of at least a result of the still image collation processing, and displays the combined internal still image and external still image on a service support display.