The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies

Παρόμοια τεκμήρια

• Non-invasive prediction of the tumor growth rate using advanced diffusion models in head and neck squamous cell carcinoma patients
  ανά: Fujima, Noriyuki, κ.ά.
  Έκδοση: (2017)
• Prediction of Hypoxia in Brain Tumors Using a Multivariate Model Built from MR Imaging and (18)F-Fluorodeoxyglucose Accumulation Data
  ανά: Shimizu, Yukie, κ.ά.
  Έκδοση: (2019)
• Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study
  ανά: Fujima, Noriyuki, κ.ά.
  Έκδοση: (2019)
• Semi-quantitative analysis of pre-treatment morphological and intratumoral characteristics using (18)F-fluorodeoxyglucose positron-emission tomography as predictors of treatment outcome in nasal and paranasal squamous cell carcinoma
  ανά: Fujima, Noriyuki, κ.ά.
  Έκδοση: (2018)
• Isolated Posterior Fossa Involvement in Posterior Reversible Encephalopathy Syndrome
  ανά: Shimizu, Yukie, κ.ά.
  Έκδοση: (2013)