Applicable to various types of biological image analysis! Introducing an invention that can accurately perform class classification.
Regarding the analysis of intravascular ultrasound catheter images, the majority vote filter is excellent as a method for removing a small number of errors. However, since it executes class classification independently for each pixel, it becomes difficult to obtain valid judgment results when there is significant overlap in the distribution between different class data sets. Our company has invented a "class classification method and device" that can accurately perform class classification even when there is overlap in the distribution of data sets between different classes. This method can be applied to various types of biological image analysis and is not limited to biological images; it can also be applied to other image analyses and data analyses beyond images, such as audio. [Research Overview] - It can accurately perform class classification even when there is overlap in the distribution of data sets between different classes. - It can be applied to various types of biological image analysis and is not limited to biological images; it can also be applied to other image analyses and data analyses beyond images, such as audio. - As a signal for obtaining observation data, it can use not only ultrasound but also sound waves and electromagnetic waves, and it can similarly be applied in cases where the physical characteristics of the transmitted and received signals differ, such as in photoacoustic methods. *For more details, please refer to the PDF document or feel free to contact us.
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[Applications] ■Inspection systems, image analysis, data analysis, biomedical image analysis *For more details, please refer to the PDF document or feel free to contact us.*
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Yamaguchi TLO Co., Ltd. is a TLO approved by the Ministry of Education, Culture, Sports, Science and Technology and the Ministry of Economy, Trade and Industry based on the Act on the Promotion of Technology Transfer from Universities, established in November 1999 with investments from 50 faculty members of Yamaguchi University (capital of 4 million yen) before incorporation. It is a liaison-type technology transfer organization that bridges people. We return the research results from the university to society in the form of technology transfer and other means. Additionally, we are actively recruiting member companies to prioritize the disclosure of invention information and contribute to the development of the local economy through these efforts.
