Eizo Gmbh

Mamoru Ogaki

Reo Aoki

Masafumi Higashi

Yusuke Bamba

Yu Kato

Takuya Matsuda

Keita Hashi

Takashi Nakamae

Hiroki Matsuzaki

Naoaki Hirata

Ikumi Arai

Koichi Tanoiri

Noriyuki Hashimoto

The present invention has been made in view of the foregoing, and an object thereof is to provide a method for learning a threshold that can provide a more objective threshold applied to pixels in the mammography image. The present invention provides a method for learning a threshold value applied to pixels in a mammography image comprising: an acquiring step; and a learning step, wherein in the acquiring step, the mammography image is acquired, in the learning step, a relationship between the mammography image and a mammary gland pixel estimation threshold is learned, the mammary gland pixel estimation threshold is a threshold value used to calculate a mammary gland pixel area of each pixel of a mammary gland region in the mammography image, and the mammary gland pixel area is a value indicating a degree of a mammary gland pixel-likeness of the pixel in the mammography image.

Method for learning threshold value

The present invention has been made in view of the foregoing, and an object thereof is to provide an information processing device capable of appropriately determining a necessity of the ultrasonography even when a high-density mammary gland area exists in a narrow area. The present invention provides an information processing device comprising: a mammary gland area extractor configured to extract a mammary gland area in a mammography image; a mammary gland pixel detector configured to detect a mammary gland pixel in the mammary gland area; and a mammary gland density calculator configured to calculate a mammary gland density based on a ratio of the mammary gland pixels to the mammary gland area, wherein the mammary gland area is a narrower area than an entire breast in the mammography image.

Information processing device, information processing method, and computer program

Provided is an ambient temperature estimating device, ambient temperature estimating method, program, and system that are able to realize both high robustness and high ambient temperature estimation accuracy. An ambient temperature estimating device includes a neural network, a temperature acquisition unit configured to acquire one or more temperature values inside the ambient temperature estimating device, and a neural network calculator configured to estimate an ambient temperature around the ambient temperature estimating device using the neural network. Input values inputted to the neural network by the neural network calculator include the temperature values acquired by the temperature acquisition unit and a heat source control value for controlling a heat source inside the ambient temperature estimating device.

Ambient temperature estimating device, ambient temperature estimating method, program and system

Provided are an information processing apparatus and program that are able to improve representable gradations in a pseudo manner while reducing flicker including a random number generator configured to generate a random number sequence; a comparator configured to make a comparison between a threshold and a random number value, the threshold being associated with any number of lower bits, the any number of lower bits forming input image data with any number of upper bits, the random number value forming the random number sequence.

Information processing apparatus and program

Technology is known for correcting the gradation characteristics of an input image signal in accordance with the characteristics of a display device, but a correction that is suitable for the usage of the display device is desired. Provided is an image processing apparatus including a first gradation converting section that converts a gradation of an image signal input thereto; a sharpening process section that performs a sharpening process on the image signal after the gradation has been converted by the first gradation converting section; a second gradation converting section that converts the gradation of the image signal after the sharpening process has been performed; and a display control section that displays an image indicated by the image signal after the gradation has been converted by the second gradation converting section, in a display device.

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Ishikawa, Japan

Mamoru Ogaki