Hitachi, Ltd.

Fujifilm Healthcare Corporation

Zisheng Li

Masahiro Ogino

Yukio Kaneko

Peifei Zhu

Tsuneya Kurihara

Yasuhiro Akiyama

Tatsuhiko Kagehiro

Mayumi Suzuki

Harumi Kiyomizu

Yasuki Kakishita

Yoshihisa Sotome

Kazuki Matsuzaki

Yun Li

Aya Kishimoto

An information processing system includes: a processor that executes a program; and a storage device that stores the program, in which the storage device stores sensor data that is biological information of a user measured by a sensor and user data collected in association with the sensor data, and the processor acquires the sensor data, and imputes the sensor data using a causal relationship between the acquired sensor data and the user data.

Information processing system and information processing method

An image diagnosis supporting device includes a model reader that reads an image diagnostic model that outputs a diagnostic result for a diagnostic image that is an input medical image, a storage unit that stores facility data that is a plurality of medical images associated with diagnostic results held in a facility, and an adjuster that adjusts, based on the facility data, the image diagnostic model or the diagnostic image input to the image diagnostic model.

Image diagnosis supporting device and image processing method

To obtain a predictive model that shows a diagnostic prediction result with higher accuracy and high medical validity. A medical imaging apparatus includes an imaging unit that collects an image signal of an inspection target, and an image processing unit that generates first image data from the image signal and performs image processing of the first image data. The image processing unit includes a feature quantity extraction unit that extracts a first feature quantity from the first image data, a feature quantity abstraction unit that abstracts the first feature quantity to extract a second feature quantity, a feature quantity conversion unit that converts the second feature quantity into a third feature quantity extracted by second image data, and an identification unit that uses the converted third feature quantity to calculate a predetermined parameter value.

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

An image diagnostic device that obtains a prediction model indicating a higher accuracy diagnosis prediction result includes: an observation unit that collects an image of an examination object; and an image processing unit that generates first image data from the image, and performs image processing of the first image data. The image processing unit is provided with: a feature extraction unit that extracts a first feature from the first image data; a feature transformation unit that converts the first feature to a second feature to be extracted from second image data; and an identification unit that calculates a prescribed parameter value using the converted second feature. The feature extraction unit includes a prediction model learned using a plurality of combinations of the first image data and feature, and the feature transformation unit includes a feature transformation model learned using a plurality of combinations of the first and second features.

Image diagnostic device, image processing method, and program for obtaining diagnostic prediction models using deep learning

Alignment of an ultrasonograph and volume data obtained beforehand is correctly performed without requiring a user to perform complicated operation. First volume data for an ultrasonograph and second volume data obtained by another imaging apparatus are received and aligned. A predetermined imaging part selected from a plurality of imaging parts of a subject is received from a user. The second volume data are initially rotated by a rotation angle corresponding to the imaging part received by the receptor, and alignment of the initially rotated second volume data and the first volume data after is further carried out.

Ultrasonic image pickup device and image processing device

Volume data is used for extracting a contour of a measurement object and measurement information describing anatomical structure useful for diagnosis is acquired from the contour. When volume data of a subject is inputted (S), an image processing device detects feature points in the volume data (S); detects contours of a plurality of parts in the volume data based on the detected feature points and anatomical definitions (S); and optimizes boundary lines defining contours of parts contacting each other, out of the detected plural parts, so as to combine together the optimized contours of the plural parts for creating a contour of the measurement object (S). Measurements are taken on diagnostic items useful for diagnosis based on the created contour (S); and the acquired measurement information is outputted as measurement results (S) which are displayed at a display.

Image processing device and method thereof

A standard view which satisfies recommendations defined in a guideline on acquisition of standard views is extracted at a time of using information about defined landmarks and a defined landmark geometry in the three-dimensional information. When 3D volume data on a subject is input (S), an image processing apparatus extracts a landmark geometry including landmarks contained in the 3D volume data on the basis of a position relationship among the landmarks (S), determines a standard view of the 3D volume data using the landmark geometry and a position relationship that satisfies recommendations in a guideline on the acquisition of the standard views (S), and outputs the obtained standard view (S) to display the standard view on a display.

Ultrasonic imaging device and image processing method

A face authentication system of an example of the present invention includes: a first face area detection unit configured to detect a first face image from a first captured image captured by a camera; a first deformation unit configured to deform the first face image non-linearly using a template face image; a face image recording unit configured to record the deformed first face image as a registered face image; a second face area detection unit configured to detect a second face image from a second captured image captured by a camera; a second deformation unit configured to deform the second face image non-linearly using the template face image; and a face image matching unit configured to compare the deformed second face image with the registered face image.

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Tokyo, Japan

Zisheng Li