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Extraction of Lung Cancer Area in Digital CT Images

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In recent years the quoit filter processing, that is a kind of filtering processing of mathematical morphology, has been developed as a technique to automatically extract the candidates of lung cancer lesion by a lung cancer examination system using X-rays CT, but there are some problems such as low process speed and the extraction accuracy. In this study we proposed some new image recognition methods for the purpose of raising identification rate by the image processing technique as a remedy of these problems. Firstly we analyze the characteristics of sample images of the lung cancer and confirmed the effectiveness of the methods we propose.

Document Type: Research Article

Publication date: January 1, 2008

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  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

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