Nec Corporation

National Cancer Center

Kenichi Kamijo

Ikuma Takahashi

Kimiyasu Takoh

Motoyasu Okutsu

Shota Ohtsuka

Tatsu Kimura

Kenji Miyazaki

Akira Tsugita

Maki Sano

Masayoshi Yamada

Yutaka Saito

Masahiro Saikou

Hitoshi Imaoka

Ryuji Hamamoto

Chiemi Tanaka

Takuji Nabetani

Hiroyasu Saiga

Tomoharu Kiyuna

Hiroaki Torii

Shuichi Kaneko

Hirotaka Minagawa

Kenji Okajima

Akira Saitou

Naoyuki Takahashi

Toshimasa Yamazaki

Yoshifusa Wada

Yoshikazu Kitamura

Maki Ogura

Yo Tabuse

An information processing device includes: a first acquisition unit configured to acquire a capturing time of a lesion image instructed to be saved by a user, from a series of images captured by an endoscope during examination with the endoscope; a second acquisition unit configured to acquire a capturing time of a lesion image detected by detection processing for the series of images captured by the endoscope during the examination; and a display control unit configured to cause a display device to display a first capturing time and a second capturing time which are plotted on a time axis, the first capturing time being the capturing time acquired by the first acquisition unit, the second capturing time being the capturing time acquired by the second acquisition unit.

Information processing device, display method, and non-transitory computer-readable medium for storing program

An endoscopy support apparatusincludes: an analysis information generation unitthat inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unitthat generates user information related to the user, which has been input by a user using a user interface; an image-related information generation unitthat generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of image information; and an examination management information generation unitthat generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.

Endoscopy support apparatus, endoscopy support method, and computer readable recording medium

An endoscopy support apparatusincludes: an analysis information generation unitthat inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unitthat generates user information related to the user, which has been input by a user using a user interface; an image-related information generation unitthat generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of imageinformation; and an examination management information generation unitthat generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.

Provided are an information processing device, a display method, and a program that allow to easily grasp during examination that a lesion is captured how long before from now which is detected by detection processing for an image captured by an endoscope. An information processing device includes: an image acquisition unit configured to sequentially acquire a current image captured by an endoscope; a lesion detection unit configured to sequentially perform detection processing of a lesion site on the images sequentially acquired by the image acquisition unit; and a display control unit configured to display, on a display device, a degree of lapse of time up to a current time from a capturing time of the image in which the lesion site is detected by the lesion detection unit.

Information processing device, display method, and non-transitory computer-readable medium for storing a program for lesion detection processing supporting decision making using machine learning

Information processing device, display method, and non-transitory computer-readable medium for supporting medical decision making

An information processing apparatus () detects an abnormal region () from a moving image frame (). The abnormal region () is a region that is estimated to represent an abnormal part inside a body of a subject. The information processing apparatus () generates and outputs output information based on the number of detected abnormal regions ().

Information processing apparatus, control method, and program

The acquisition unitB acquires a target image indicating a target object of inspection. The detection unitB detects, on the basis of a group of images each of which indicates the target object in a normal state, the target image that indicates the target object that is not in the normal state among the target images that the acquisition unitB acquires.

Inspection device, inspection method and storage medium

An information processing apparatus () detects an abnormal region () in each of a plurality of video frames () constituting video data () in which the inside of a body is captured. The information processing apparatus () outputs output information related to the detected abnormal region (). Herein, the information processing apparatus () starts outputting of the output information when a detection score based on a proportion of the number of the video frames () in which the abnormal region () is detected becomes equal to or more than a first threshold value in a state where outputting of the output information is not being performed. Further, the information processing apparatus () ends outputting of the output information when the detection score becomes equal to or less than a second threshold value in a state where outputting of the output information is being performed.

Information processing apparatus, control method, and non-transitory storage medium

Information processing device, display method, and nontransitory computer-readable medium for storing program

An information processing apparatus () detects an abnormal region () from a predetermined range () of a video frame (). The information processing apparatus () determines whether a predetermined condition is satisfied in a case where the abnormal region () is detected from the predetermined range () of a certain video frame () and the abnormal region () is not detected from the predetermined range () of a predetermined video frame () generated later than the video frame (). In a case where the predetermined condition is not satisfied, the information processing apparatus () performs a predetermined notification.

Information processing apparatus, control method and program

Provided are: a method of assessing hepatocellular carcinoma by using a protein with a different phosphorylated state in hepatocellular carcinoma cells compared with non-hepatocellular carcinoma cells; and a hepatocellular carcinoma protein marker for detecting hepatocellular carcinoma formed of the protein. The hepatocellular carcinoma protein marker for detecting hepatocellular carcinoma includes tumor rejection antigen gp96 formed of the amino acid represented by SEQ ID NO: 1, and is measured for its phosphorylated state to detect the presence or absence of hepatocellular carcinoma.

Hepatocellular carcinoma protein marker

The present invention provides a method for analyzing the C-terminal amino acid sequence of a peptide by using a reaction for successively releasing the C-terminal amino acids of the peptide, which method can suppress, when successively releasing the C-terminal amino acids of a peptide of long amino acid length, such a undesirable side reaction as cleavage of peptide bond in the intermediate position of the peptide and can carry out the chemical treatment thereof under widely applicable conditions; In the method, a dry sample of a peptide with long amino acid length is beforehand subjected to an N-acylation treatment; by using a reaction reagent where an alkanoic acid anhydride is combined with a small amount of a perfluoroalkanoic acid, successive release of C-terminal amino acids is conducted under mild conditions; a hydrolysis treatment is applied; then, selective fragmentization at site of arginine residue is performed by digestion by trypsin; thereafter, decreases in molecular weight are measured for the C-terminal side fragments derived from a series of reaction products with use of a MALDI-TOF-MS apparatus; thereby, the C-terminal amino acid sequence of the peptide sample is identified.

Method for analyzing C-terminal amino acid sequence of peptide using mass spectrometry

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Tokyo, Japan

Kenichi Kamijo