Deep fusion of gray level co-occurrence matrices for lung nodule classification. (arXiv:2205.05123v1 [eess.IV])

Web: http://arxiv.org/abs/2205.05123

Lung cancer is a severe menace to human health, due to which millions of
people die because of late diagnoses of cancer; thus, it is vital to detect the
disease as early as possible. The Computerized chest analysis Tomography of
scan is assumed to be one of the efficient solutions for detecting and
classifying lung nodules. The necessity of high accuracy of analyzing C.T. scan
images of the lung is considered as one of the crucial challenges in detecting
and …

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