National Institute of Advanced Industrial Science and Technology

Other

University of Tsukuba

Evolvable Systems Research Institute Inc.

Hidenori Sakanashi

Tetsuya Higuchi

Hirokazu Nosato

Masahiro Murakawa

Masaharu Tanaka

Eiichi Takahashi

Nobuyuki Otsu

Yuudai Yamazaki

Takio Kurita

Takumi Kobayashi

Yuta Kochi

Masaya Iwata

Atsushi Ikeda

An endoscopic diagnosis support method whereby an examined area and an unexamined area can be clearly discriminated. After a preparatory step of an observation canvas is performed in advance, a frame marking step, a key point calculation step, a preceding and following frame displacement amount calculation step, a preceding and following frame marking step are executed to thereby perform observation recording. In an image diagnosis support step IDS, support is performed such that the existence of a lesion is diagnosed in an organ on the basis of a plurality of position data marked with respect to a plurality of frames in the observation canvas data and an endoscopic image in the plural frames.

Method and system for endoscopic diagnosis support

The ultrasound examination system automatically detects a lesion, based on a dynamic image including a plurality of frame arrays that are temporally continuous and are output from the ultrasound examination apparatus with an ultrasonic probe being manipulated. Detection accuracy of the ultrasound examination system can be increased. A feature extractor in a frame checker extracts cubic higher-order local autocorrelation features from each frame of a plurality frames that constitute a dynamic image of a human body part as obtained from an ultrasound examination apparatus while an examiner manipulates an ultrasonic probe on the examinee. A final determinator determines that the frame in question is a normal frame when a speed determinator determines that the speed of the ultrasonic probe is not a normal speed even though the frame in question can be determined as an abnormal frame containing a lesion.

System and method for ultrasound examination

A region segmented image data creating system for histopathological images is provided. The region segmented image data creating system is capable of creating region segmented image data required to generating a region segmented image. A first bi-level image data creating sectioncreates first bi-level image data, in which nucleus regions can be discriminated from other regions, from histopathological image data. A second bi-level image data creating sectioncreates second bi-level image data, in which a background regions can be discriminated from other regions, from the histopathological image data. A three-level image data creating sectionclarifies cytoplasm regions by computing a negative logical addition of the first bi-level image data and the second bi-level image data, and to create three-level image data as the region segmented image data.

Region segmented image data creating system and feature extracting system for histopathological images

A data compression method uses a template. In the template, the template optimizing is performed by an artificial intelligent technique (such as a genetic algorithm). The artificial intelligent techniqiue is applied to segments defined by diving input data into uniform segment units. The compression method contributes to enhancing the prediction accuracy. The data is compressed using the results of optimization, and a database is updated to improve the compression efficiency and speed of the subsequent processings. By updating a database by using an optimized template, a template for improving the prediction accuracy is obtained quickly without applying any artificial intelligent technique.

Data coding method and device, and data coding program

An image coding apparatus including a context generator configured to select a reference pixel that has been coded in image data to generate a context formed of the selected reference pixel, an entropy encoder configured to code the image data based on the context to generate coded data, an evaluation value calculator configured to calculating a compression ratio based on the image data and the coded data to output the compression ratio, and an adaptive evolution processor configured to perform adaptive evolution based on the compression ratio to find optimal reference pixels for the image data, the optimal reference pixels being supplied to the context generator for optimizing the context.

Apparatus for performing loss-less compression-coding of adaptive evolution type on image data

Growing community of inventors

Ibaraki, Japan

Hidenori Sakanashi