A new strategy to detect lung cancer on CT images
L Li, Y Wu, Y Yang, L Li, B Wu - 2018 IEEE 3rd International …, 2018 - ieeexplore.ieee.org
Lung cancer has a very low cure rate in the advanced stages, with effective early detection,
the survival rate of lung cancer could be highly raised. Detection of lung cancer in the early
stages plays a vital role for human health. Computed tomography (CT) images, which
provide electronic densities of tissues, are widely applied in radiotherapy planning. The
proposed system based on CT technology consists of several steps, such as image
acquisition, preprocessing, feature extraction, and classification. In the preprocessing stage …
the survival rate of lung cancer could be highly raised. Detection of lung cancer in the early
stages plays a vital role for human health. Computed tomography (CT) images, which
provide electronic densities of tissues, are widely applied in radiotherapy planning. The
proposed system based on CT technology consists of several steps, such as image
acquisition, preprocessing, feature extraction, and classification. In the preprocessing stage …
[PDF][PDF] A new strategy to detect lung cancer on CT images
FT Johora, M Jony, P Khatun - International Research Journal of …, 2018 - academia.edu
Lung cancer has a very low level of healing, with effective detection, the survival of lung
cancer can be highly appreciated. In the early stages, lung cancer detection plays an
important role in human health. Computed tomography (CT) images, which provide an
electronic density of tissues, are widely applied in radiotherapy planning. Based on CT
technology, the proposed system consists of a few steps like photo acquisition,
preprocessing, feature extraction and categorization. At the preprocessing stage, RGB …
cancer can be highly appreciated. In the early stages, lung cancer detection plays an
important role in human health. Computed tomography (CT) images, which provide an
electronic density of tissues, are widely applied in radiotherapy planning. Based on CT
technology, the proposed system consists of a few steps like photo acquisition,
preprocessing, feature extraction and categorization. At the preprocessing stage, RGB …
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