Abstract: An information processing apparatus according to the present disclosure includes at least one processor, in which the processor is configured to: generate a difference image representing a difference between a low-energy image captured by irradiating a subject, in which a contrast agent is injected, with electromagnetic waves having first energy and a high-energy image captured by irradiating the subject with electromagnetic waves having second energy higher than the first energy; extract a lesion candidate region including a lesion candidate from the difference image; cut out a region corresponding to the lesion candidate region from at least any one of the low-energy image or the high-energy image, as a patch image; and determine whether or not the lesion candidate is a lesion based on the patch image.

Abstract: An information processing apparatus according to the present disclosure includes at least one processor, in which the processor is configured to: generate a difference image representing a difference between a low-energy image captured by irradiating a subject, in which a contrast agent is injected, with radiation having first energy and a high-energy image captured by irradiating the subject with radiation having second energy higher than the first energy; detect a lesion region including a lesion from each of the low-energy image and the difference image; perform a comparison determination of a position of the lesion region detected from the low-energy image and a position of the lesion region detected from the difference image; and output a comparison determination result.

Abstract: A processor device of a laparoscopic system includes a difficulty level calculation unit. The difficulty level calculation unit acquires puncture information related to a puncture candidate position and a puncture target, and calculates the puncture difficulty level in a case of performing the puncture from the puncture candidate position toward the puncture target with a puncture needle by using the acquired puncture information. The puncture difficulty level is calculated by using an angle between a puncture direction and a gravity direction, a size of the puncture target, and a distance from the puncture candidate position to the puncture target.

Abstract: An information processing apparatus according to the present disclosure generates a first difference image representing a difference between a first low-energy image and a first high-energy image captured by irradiating a left breast and generates a second difference image representing a difference between a second low-energy image and a second high-energy image captured by irradiating a right breast; determines an enhancement level of background mammary gland parenchyma of the left breast based on the first difference image; determines an enhancement level of background mammary gland parenchyma of the right breast based on the second difference image; and determines symmetry of enhancement regions of the background mammary gland parenchyma related to the left and right breasts based on a first feature value extracted from the first difference image and a second feature value extracted from the second difference image.

Abstract: There is provided an image processing apparatus including: at least one processor, in which the processor is configured to execute: calcification candidate image detection processing of detecting a calcification candidate image estimated to be a calcification image from a series of a plurality of projection images obtained by tomosynthesis imaging of a breast or a plurality of tomographic images obtained from the plurality of projection images; calcification candidate image group generation processing of generating a calcification candidate image group by cutting out a region including the calcification candidate image detected by the calcification candidate image detection processing, from each of the plurality of projection images; and calcification determination processing of determining whether or not the calcification candidate image is a calcification image based on the calcification candidate image group generated by the calcification candidate image group generation processing.

Abstract: There is provided an image processing apparatus that executes calcification image detection processing of detecting a calcification image based on a plurality of tomographic images obtained from a series of a plurality of projection images; region-of-interest image generation processing of generating a region-of-interest image based on a detection result by the calcification image detection processing by cutting out a region including the calcification image, from a projection image obtained at an irradiation position among the plurality of projection images or the plurality of tomographic images, the irradiation position being closest to a position facing a detection surface of a radiation detector; shape restoration processing of restoring a shape of the calcification image based on the region-of-interest image generated by the region-of-interest image generation processing; and synthesized two-dimensional image generation processing of generating a synthesized two-dimensional image based on a shape restora

Abstract: An image processing apparatus includes at least one processor, in which the at least one processor is configured to: detect calcification from a radiation image obtained by imaging a breast by irradiating the breast with radiation; generate a low resolution image from a calcification distribution image representing a detection result of the calcification by reducing a resolution to be lower than a resolution of the radiation image; and determine a type of a distribution state of the calcification based on the low resolution image.

Abstract: An image processing apparatus includes at least one processor. The processor is configured to execute calcification image detection processing of detecting a calcification image based on a plurality of tomographic images obtained from a series of a plurality of projection images obtained by tomosynthesis imaging of a breast, region-of-interest image group generation processing of generating a region-of-interest image group by cutting out, as a region-of-interest image, a region including the calcification image detected by the calcification image detection processing from each of the plurality of projection images, variance value calculation processing of calculating a variance value of feature amounts of each of the region-of-interest images included in the region-of-interest image group, and shape type determination processing of determining a type of a shape of the calcification image based on the variance value calculated by the variance value calculation processing.

Abstract: An image processing apparatus includes at least one processor. The processor is configured to execute region-of-interest image generation processing of generating a region-of-interest image from a projection image, which is obtained at an irradiation position closest to a position facing a detection surface of a radiation detector, among a series of projection images obtained by irradiating a breast with radiations and imaging the breast, and shape type determination processing of determining a type of a shape of a calcification image included in the region-of-interest image generated by the region-of-interest image generation processing.

Abstract: Provided are an image processing device, an image processing method, and an image processing program that can easily determine a distribution of a faint calcification having low visible in a radiographic image. An image processing device includes at least one processor. The processor detects a faint calcification from a radiographic image captured by irradiating a breast with radiation and displays a calcification distribution image showing a distribution of the faint calcification in the breast in the radiographic image.

Abstract: A learning device detects a first region of interest including a calcification and a second region of interest including an other lesion on the basis of any one of a composite two-dimensional image obtained from a plurality of projection images captured by tomosynthesis imaging or a plurality of tomographic images, the tomographic image, or a normal two-dimensional image, and trains an image generation model, in which a weight for the first region of interest is largest and a weight for the second region of interest is set to be equal to or larger than a weight for a region other than the first region of interest and the second region of interest, by updating a weight for a network of the image generation model on the basis of a loss between a pseudo two-dimensional image output by the image generation model and the normal two-dimensional image and/or the composite two-dimensional image to reduce the loss.

Abstract: An image processing device includes at least one processor. The processor detects a specific structural pattern indicating a lesion candidate structure for a breast in a series of a plurality of projection images obtained by performing tomosynthesis imaging on the breast or in a plurality of tomographic images obtained from the plurality of projection images, synthesizes the plurality of tomographic images to generate a synthesized two-dimensional image, specifies a priority target region, in which the specific structural pattern is present, in the synthesized two-dimensional image, and performs determination regarding a diagnosis of a lesion on the basis of the synthesized two-dimensional image and the priority target region.

Abstract: A learning device includes at least one processor. The processor acquires a medical image to be detected, acquires apparatus identification information for identifying an imaging apparatus that has captured the medical image to be detected, selects any one of a plurality of lesion detection models, which detect a lesion from the medical image, on the basis of the apparatus identification information, and detects the lesion from the medical image to be detected, using the selected lesion detection model.

Abstract: An information processing apparatus includes a processor configured to convert the values of pixels in a glossy region of process target image data by inputting the process target image data to a first learning unit that has been trained using, as first learning data, first read image data and second read image data so as to convert the first read image data into the second read image data. The glossy region corresponds to a glossy portion of a document. The first read image data include the glossy region, and are obtained by optically reading the document in a first reading environment in which the light amount of regularly reflected light from a learning data document acquired by an image sensor is less than a regularly reflected light amount threshold.

Abstract: An information processing apparatus includes a processor configured to convert the values of pixels in a glossy region of process target image data by inputting the process target image data to a first learning unit that has been trained using, as first learning data, first read image data and second read image data so as to convert the first read image data into the second read image data. The glossy region corresponds to a glossy portion of a document. The first read image data include the glossy region, and are obtained by optically reading the document in a first reading environment in which the light amount of regularly reflected light from a learning data document acquired by an image sensor is less than a regularly reflected light amount threshold.

Abstract: An information processing apparatus includes a processor configured to perform a resolution reduction process on a target image to generate a low-resolution image, the resolution reduction process being a process in which a degree of resolution reduction changes depending on a size of the target image or a size of dispensable information contained in the target image; and perform a generation process of generating, based on the low-resolution image, a super-resolution image having a predetermined resolution corresponding to a resolution of the target image.