DUAL-ENERGY CT: A NEW FRONTIER IN ONCOLOGY IMAGING

Dual-energy CT: A new frontier in oncology imaging

Malignant tumors have risen to prominence as the leading threat to both life and the overall health of individuals.Precision medicine relies heavily on precise imaging.Among the plethora of imaging techniques, the advantages of dual-energy computed tomography (CT) in tumor diagnosis and treatment are becoming increasingly pronounced.Accurate imagin

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3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification with Limited Samples

Owing to the outstanding feature extraction capability, convolutional neural networks (CNNs) have been widely applied in hyperspectral image (HSI) classification problems and have achieved an impressive performance.However, it is well known that 2D convolution suffers from the absent consideration of spectral information, while 3D convolution requi

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