There is provided a surgical controlling device including an exposure controlling section that performs exposure control based on a luminance detection value detected from a biological image, in which the exposure controlling section corrects, on the basis of information regarding an identified surgical optical device, the luminance detection value so as to correct luminance unevenness arising from the surgical optical device. Further, there is provided a control method including performing, by a processor, exposure control based on a luminance detection value detected from a biological image, in which the performing the exposure control further includes correcting the luminance detection value so as to correct, based on information regarding an identified surgical optical device, luminance unevenness arising from the surgical optical device.

There is provided a surgical controlling device including an exposure controlling section that performs exposure control based on a luminance detection value detected from a biological image, in which the exposure controlling section corrects, on the basis of information regarding an identified surgical optical device, the luminance detection value so as to correct luminance unevenness arising from the surgical optical device. Further, there is provided a control method including performing, by a processor, exposure control based on a luminance detection value detected from a biological image, in which the performing the exposure control further includes correcting the luminance detection value so as to correct, based on information regarding an identified surgical optical device, luminance unevenness arising from the surgical optical 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.

To provide an image processing apparatus, an image processing method, and an endoscope system by which deep tissues and superficial blood vessels enhanced with improved visibility can be displayed to a surgeon in real time. An image processing apparatus according to an embodiment of the present technology includes an enhancement processing unit that performs enhancement processing on low-frequency components that are a range lower than a predetermined spatial frequency in an input image, performs enhancement processing on high-frequency components that are a range higher than the low-frequency components in the input image, and outputs the input image having the low-frequency components and the high-frequency components each subjected to enhancement processing.

To provide an image processing apparatus, an image processing method, and an endoscope system by which deep tissues and superficial blood vessels enhanced with improved visibility can be displayed to a surgeon in real time. An image processing apparatus according to an embodiment of the present technology includes an enhancement processing unit that performs enhancement processing on low-frequency components that are a range lower than a predetermined spatial frequency in an input image, performs enhancement processing on high-frequency components that are a range higher than the low-frequency components in the input image, and outputs the input image having the low-frequency components and the high-frequency components each subjected to enhancement processing.

A surgical medical imaging system includes a second image processing device that acquires a first surgical image signal being a surgical image signal subjected to first image processing, from a medical imaging device including an imaging device and a first image processing device performing the first image processing on the surgical image signal captured by the imaging device, and performs second image processing on the first surgical image signal; and a third image processing device that acquires the first surgical image signal and a second surgical image signal being a surgical image signal subjected to the second image processing, performs third image processing on at least one of the first surgical image signal and the second surgical image signal, and generates a display image signal by conversion processing based on the first and the second surgical image signals, in which the first, second, and third image processing are different.

An image processing system includes at least one processor including hardware. The processor performs a process that acquires, as a processing target image sequence, images captured in a time series manner with an inside of a living body by an endoscope imaging device, a process based on a database generated by using a plurality of in-vivo images captured at earlier timings than timings at which the processing target image sequence is captured, and a process that determines, when a bleeding has been occurring inside the living body, a kind of a desirable bleeding stopping treatment for a blood vessel on which the bleeding has been occurring based on the processing target image sequence and the database to present, to a user, the determined type of the bleeding stopping treatment.

A screen (70) of a display (7) includes a main screen (71), sub-screens (72) and (73), and an input list screen (74). During an examination using an endoscope (1), a control device (4) displays a plurality of types of information on the examination on the main screen (71) and the sub-screens (72) and (73), respectively. In addition, the control device (4) displays, on the input list screen (74), an option of the information to be displayed in a switching target information region included in the main screen (71) and the sub-screens (72) and (73). Moreover, the control device (4) switches the information to be displayed in the switching target information region based on a user operation of selecting the option.

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.

The present technology relates to a control device, a control method, and a surgical system that enable an operator to implement operation without a burden. A control unit controls a plurality of patterns of operations of a surgical instrument, and an acquisition unit obtains motion information indicating a motion of a user. Furthermore, the control unit controls the operations of the respective patterns corresponding to the motion information obtained by the acquisition unit in parallel using only a single operation performed by the user as a trigger. The present technology can be applied to a control device of a surgical system.