Litcius/Paper detail

Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer

Taku Tajima, Hiroyuki Akai, Haruto Sugawara, Toshihiro Furuta, Koichiro Yasaka, Akira Kunimatsu, Naoki Yoshioka, Masaaki Akahane, Osamu Abe, Kuni Ohtomo, Shigeru Kiryu

2022Magnetic Resonance Imaging20 citationsDOI

Topics & Concepts

MedicineImage qualityProstate cancerContext (archaeology)Magnetic resonance imagingDiffusion MRINuclear medicineContrast (vision)Whole body imagingRadiologyLymph node metastasisProstateLymph nodeMetastasisCancerArtificial intelligenceInternal medicineImage (mathematics)Computer sciencePaleontologyBiologyMRI in cancer diagnosisProstate Cancer Diagnosis and TreatmentAdvanced Neuroimaging Techniques and Applications
Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer | Litcius