Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Editorial Comment
0
Zitationen
3
Autoren
2019
Jahr
Abstract
No AccessJournal of UrologyAdult Urology1 Sep 2019Editorial CommentThis article comments on the following:Radiomics Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Aggressiveness Madhur Nayan, Neil Fleshner, and Anthony Bozzo Madhur NayanMadhur Nayan Division of Urology, Departments of Surgery and Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario More articles by this author , Neil FleshnerNeil Fleshner Division of Urology, Departments of Surgery and Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario More articles by this author , and Anthony BozzoAnthony Bozzo Division of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000558548.34484.39AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Editorial Comment." The Journal of Urology, 202(3), pp. 504–505 References 1. : Applying radiomics to predict pathology of postchemotherapy retroperitoneal nodal masses in germ cell tumors. JCO Clin Cancer Informat 2018; 2: 1. Google Scholar 2. : Dermatologist-level classification of skin cancer with deep neural networks. Nature 2017; 542: 115. Google Scholar 3. : Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digital Med 2018; 1: 39. Google Scholar 4. : High-performance medicine: the convergence of human and artificial intelligence. Nature Med 2019; 25: 44. Google Scholar © 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsRelated articlesJournal of Urology8 Aug 2019Radiomics Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Aggressiveness Volume 202Issue 3September 2019Page: 504-505 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Madhur Nayan Division of Urology, Departments of Surgery and Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario More articles by this author Neil Fleshner Division of Urology, Departments of Surgery and Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario More articles by this author Anthony Bozzo Division of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada More articles by this author Expand All Advertisement PDF downloadLoading ...
Ähnliche Arbeiten
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
2008 · 29.016 Zit.
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.728 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.820 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.121 Zit.