Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 section 12 creates 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 section 14 creates 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 section 15 clarifies 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.

Abstract: 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 section 12 creates 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 section 14 creates 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 section 15 clarifies 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.

Abstract: A method for designing a mask pattern realizes shortening the ever-growing time for the OPC treatment, decreases the fabrication TAT of a semiconductor device and cuts cost. A method for fabricating a semiconductor device uses the mask pattern designed. This invention performs the OPC treatment in advance on a cell library constituting the basic configuration of a semiconductor circuit pattern and prepares a semiconductor chip using the cell library that has undergone the OPC treatment.

Abstract: A mask pattern designing method capable of achieving the reduction in the increasing OPC processing time, shortening the manufacture TAT of a semiconductor device, and achieving the cost reduction is provided. An OPC (optical proximity correction) process at the time when a cell is singularly arranged is performed to a cell library pattern which forms a basic structure of a semiconductor circuit pattern in advance, and a semiconductor chip is produced using the cell library pattern to which the OPC process has been performed. At this time, since the cell library pattern which has been OPC-processed in advance is influenced by the cell library patterns around it, the correction process thereof is performed to the end portions of the patterns near the cell boundary. As particularly effective OPC correction means, the genetic algorithm is used.

Abstract: 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.

Abstract: A semiconductor chip is manufactured using a cell library pattern obtained by performing OPC (optical proximity correction) process at the time of a cell single arrangement to a cell library pattern which forms a basic structure of a semiconductor circuit pattern in advance. A plurality of cell libraries are arranged to design a mask pattern and a correction amount of OPC performed to the cell libraries is changed with taking into account the influence of a pattern of cell libraries arranged around a target cell. Further, a cell group with the same arrangement of surrounding cells including the target cell is extracted and is registered as a cell set, and a cell set with the same cell arrangement as that of the registered cell set is produced by copying without re-calculating OPC inside the cell set.

Abstract: A data compression method using a template, in which a template optimizing means using an artificial intelligent technique (such as a genetic algorithm) applied to segments defined by diving input data into uniform segment units contributes to enhancing the prediction accuracy, 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.

Abstract: 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.