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Article
Open AccessPrediction of prognosis in glioblastoma with radiomics features extracted by synthetic MRI images using cycle-consistent GAN
To propose a style transfer model for multi-contrast magnetic resonance imaging (MRI) images with a cycle-consistent generative adversarial network (CycleGAN) and evaluate the image quality and prognosis predi...
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Article
Image masking using convolutional networks improves performance classification of radiation pneumonitis for non-small cell lung cancer
Radiation pneumonitis (RP) is a serious side effect of radiotherapy in patients with locally advanced non-small-cell lung cancer (NSCLC). Image crop** reduces training noise and may improve classification ac...
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Article
MRI image synthesis for fluid-attenuated inversion recovery and diffusion-weighted images with deep learning
This study aims to synthesize fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted images (DWI) with a deep conditional adversarial network from T1- and T2-weighted magnetic resonance imaging (MR...
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Article
Predictive gamma passing rate of 3D detector array-based volumetric modulated arc therapy quality assurance for prostate cancer via deep learning
To predict the gamma passing rate (GPR) of the three-dimensional (3D) detector array-based volumetric modulated arc therapy (VMAT) quality assurance (QA) for prostate cancer using a convolutional neural networ...
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Article
Evaluation of metal artefact techniques with same contrast scale for different commercially available dual-energy computed tomography scanners
The aim of our study is to evaluate the metal artefact reduction techniques with the same contrast scale for different vendors’ dual-energy CT (DECT): kV-CT image with metal artefact reduction method and monoe...
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Article
Improving automatic contrast agent extraction system using monochromatic CT number
In a previous study, a phantom study of a contrast agent extraction system with computed tomography (CT) number and raw-data-based electron density (ED) was described. The current study improved this system wi...