Exploring dual-energy CT spectral information for machine learning-driven lesion diagnosis in pre-log domain
In this study, we proposed a computer-aided diagnosis (CADx) framework under dual-
energy spectral CT (DECT), which operates directly on the transmission data in the pre-log …
energy spectral CT (DECT), which operates directly on the transmission data in the pre-log …
Using tissue-energy response to generate virtual monoenergetic images from conventional CT for computer-aided diagnosis of lesions
Based on the X-ray physics in computed tomography (CT) imaging, the linear attenuation
coefficient (LAC) of each human tissue is described as a function of the X-ray photon energy …
coefficient (LAC) of each human tissue is described as a function of the X-ray photon energy …
Fully utilizing contrast enhancement on lung tissue as a novel basis material for lung nodule characterization by multi-energy CT
Based on well-established X-ray physics in computed tomography (CT) imaging, the
spectral responses of different materials contained in lesions are different, which brings …
spectral responses of different materials contained in lesions are different, which brings …