Fujitsu Corporation

Isuzu Motors Limited

Masaki Ishihara

Takayuki Baba

Susumu Endo

Yusuke Uehara

Masahiko Sugimura

Daiki Masumoto

Toshihiro Hattori

Makoto Uriuhara

Hirohisa Naito

Shuichi Shiitani

Shigemi Nagata

Hitoshi Kasai

Akira Miyazaki

Shugo Nakamura

Hiroaki Takebe

Yasushi Yamamoto

Nobuyuki Iwao

Yasuyoshi Asagi

Yuji Matsuda

Noriaki Ogawa

Masashi Urushihara

Ryuta Tanaka

Atsuko Tada

Nobuyuki Nishimura

Shigeki Moride

Ryoichi Funabashi

Motoo Masui

Masaaki Nishito

Hisao Ishida

Chuji Yamada

Hideo Saito

Minoru Honma

Nobutaka Sakai

A diagnosis method performed by a computer includes: executing a process that includes specifying a first case image group which includes one or more case images which have a same abnormality as a first abnormality detected from an image of a subject among plural case images about each of plural patients, each of the plural case images indicating an image in which a progression stage of a disease is different; executing a first selection process that includes calculating a first similarity about a site where the first abnormality appears between each of the one or more case images included in the first case image group and the image of the subject, and selecting a second case image group from the first case image group in accordance with the first similarity with respect to each of the one or more case images included in the first case image group.

Diagnosis support method, diagnosis support apparatus, and non-transitory computer-readable storage medium

A non-transitory recording medium stores a program causing a computer to execute a process including determining a reference value on a decision surface classifying a group of image data represented by a plurality of types of feature quantities into two classes in a feature quantity space, based on a feature quantity of given image data that is closest to the decision surface and is classified into one of the classes of the group of image data in the feature quantity space, plotting and displaying pieces of image data of the group of image data along at least one axis indicating a degree of separation of each of the pieces of image data relative to the reference value, modifying, upon receiving a single piece of image data identified from the plotted and displayed pieces of image data, the decision surface based on the identified single piece of image data.

Recording medium, case data generation support system, and case data generation support method

A non-transitory computer-readable recording medium storing an image interpretation support program that causes a computer to execute a process, the process including generating first data indicating a first internal structure of a predetermined object, based on a first cross-sectional image group acquired with respect to the predetermined object; detecting a structural change of the first internal structure from a second internal structure of the predetermined object, based on second data indicating the second internal structure and the generated first data, the second data being generated based on a second cross-sectional image group acquired at a past time; identifying a new cross-section with respect to the predetermined object based on the structural change; generating a cross-sectional image of the predetermined object with respect to the new cross-section, based on the first cross-sectional image group; and displaying the generated cross-sectional image together with first information indicating the detected structural change.

Cross-sectional image generating apparatus, cross-sectional image generating method, and recording medium

A computation unit calculates luminance differences of individual pixel pairs in a feature area and calculates, based thereon, a local feature value formed from bit values respectively corresponding to the pixel pairs. Specifically, the computation unit calculates a specific luminance difference for a specific pixel pair corresponding to a specific bit value and then compares the result with a specified range including a zero point of luminance difference. Then a first value is assigned to the specific bit value when the specific luminance difference is greater than the upper bound of the specified range. A second value is assigned to the same when the specific luminance difference is smaller than the lower bound of the specified range. A predetermined one of the first and second values is assigned to the same when the specific luminance difference falls in the specified range.

Computer-readable storage medium storing image processing program and image processing apparatus

A non-transitory computer readable storage medium that stores a program for image processing that causes a computer to execute a process including: detecting a change in a lung based on a plurality of images of the chest scanned at different times, the change in the lung indicating that each position of each part of the lung changes toward a specified position of the lung, and outputting the change of the lung.

Computer readable storage medium, apparatus, and method for image processing

An image processor includes: a memory; and a processor, wherein the processor is configured to: extract an arc area in an image captured by an image sensor; and determine whether a portion that protrudes from an arc in the arc area satisfies a first reference regarding a shape and detect the portion as a colony candidate when it is determined that the portion satisfies the first reference.

Image apparatus, image processing method, and computer readable, non-transitory medium

A method includes displaying a first image including a living body on a display apparatus, accepting specifying of a first area on the first image, extracting a first feature point group from an area in the first image, the area being located in a distance more than a threshold from the first area, acquiring a second image including the living body, the second image being captured at different timing from the first image, extracting a second feature point group corresponding to the first feature point group, from the second image, generating, by a processor, transformation information based on a positional relationship between the first feature point group and the second feature point group, for carrying out an image registration between the second image and the first image, executing transformation processing by applying the transformation information to the second image, and displaying a third image generated by the transformation processing.

Image display apparatus and image display method

An image processing apparatus receives an input specifying a target in a first captured image group that is obtained by slicing a three-dimensional body into captured images at a first point in time, extracts feature points surrounding the specified target from the captured images of the first captured image group, specifies slice positions of each of the feature points that are extracted in captured images of a second captured image group that is obtained by slicing the three-dimensional body into the captured images at a second point in time, and outputs an image corresponding to a slice position range specified based on the specified slice positions of each of the extracted feature points, and corresponding to a range on a first plane specified based on positions of each of the extracted feature points on a second plane.

Image processing apparatus and image processing method

An image display apparatus includes a display device and a computer configured to execute a program to cause the computer to serve as a display controlling part. The display part displays a first CT image and a second CT image simultaneously. The first CT image and the second CT image represent the same object but taken in different time periods. The display controlling part performs: displaying the first and second CT images simultaneously on the display device according to a first display mode; determining a target portion designated in the first CT image; and changing a display mode of a corresponding portion of the second CT image from the first display mode into a second display mode, the corresponding portion corresponding to the target portion designated in the first CT image.

Image display apparatus, image display method and storage medium storing image display program

A binarization processing unit generates a binary image by comparing the visual feature of each pixel of an input image with a predetermined binarization threshold and binarizing the value of each pixel of the input image based on the comparison result. The binarization processing unit performs this process while changing the binarization threshold, thereby generating a plurality of binary images. A contour detecting unit calculates the area of a closed region having an overlap between the plurality of binary images, and determines the binarization threshold to be used for detecting a boundary of the corresponding closed region as a contour of an object, based on the area change rate of the corresponding closed region caused by changing the binarization threshold.

A computer-readable recording medium storing a program for causing a computer to execute a procedure for managing a system that retrieves a image corresponding to a first type specified by a retrieval request received from a terminal device and another image corresponding to a second type associated with the first type, from an image database storing a plurality of images associated with at least a number of a plurality of types, the procedure includes: referring to a learning state representing whether feature values of images corresponding to each of the plurality of the types have been obtained; retrieving an unlearned type in which the feature value has not been obtained, among the plurality of types; specifying an association type associated with the unlearned type; and outputting the unlearned type in accordance with the learning state of the association type.

Computer-readable recording medium storing system management program, device, and method

A computer-readable recording medium storing a program for causing a computer to execute an image accumulating procedure, the procedure includes: specifying a second image similar to a first image that is associated with text information; displaying the second image in an identifiable manner, and the text information on a display device; and storing the text information associated with image information that is related to the second image, based on instruction information that instructs a use of the text information with respect to the second image.

Program, method and apparatus for accumulating images that have associated text information

An image processing apparatus includes: a storage configured to store, for a plurality of areas in a target image, attributes and patterns associated with the attributes, each the attributes being assigned to each the plurality of areas, and each the pattern being created from areas having an identical attribute among the attributes; and a processor configured to: obtain an area that is specified in the target image and an attribute that is assigned to the specified area, search the storage for a pattern based on similarity between the pattern and a pattern created from a certain number of areas having the assigned attribute; and search for an area in the target image based on similarity between the area and the certain number of areas in accordance with the searched pattern.

An image retrieval method includes reading from a first database a first image group mapped to an object as a retrieval target, and extracting an image feature quantity of a plurality of images of the first image group. A second image group mapped to an object as a search key is read from a second database and an image feature quantity of a plurality of images of the second image group is extracted. Similarity is determined between the first image group and the second image group, based on the image feature quantity of the plurality of images of the first image group and the image feature quantity of the plurality of images of the second image group. On an output device, as retrieval results, the plurality of images of the first image group are displayed in order of similarity of the object as the retrieval target based on determined similarity.

Apparatus and method for retrieving image

An image identifying device includes: a setting unit which sets a section having at least one image in a video; a first recognizing unit which calculates a plurality of feature amounts related to at least the one image and which acquires a plurality of identification results corresponding to each of the feature amounts from an identifier which may identify a plurality of objects belonging to a first category; a selecting unit which selects, based on the identification results, a second category of a third category; and a second recognizing unit which calculates another feature amount related to an image included in another section and acquires another identification result corresponding to the feature amount from another identifier which may identify the objects included in the second category.

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Kawasaki, Japan

Masaki Ishihara