Published September 2018 | Version v1
Journal article Metadata-only

Comments on "Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy" by Terunuma et al

Creators

  • 1. National Institute of Radiological Sciences, Research Center for Charged Particle Therapy (Japan)
  • 2. Association for Nuclear Technology in Medicine (Japan)

Description

no abstract available

Additional details

Identifiers

DOI
10.1007/s12194-018-0447-4;

Publishing Information

Journal Title
Radiological Physics and Technology (Online)
Journal Volume
11
Journal Issue
3
Journal Page Range
p. 360-361
ISSN
1865-0341

INIS

Country of Publication
Japan
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51027863
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Resource subtype / Literary indicator
No Abstract
Descriptors DEI
FLUOROSCOPY; LEARNING; NEOPLASMS; X RADIATION
Descriptors DEC
BIOMEDICAL RADIOGRAPHY; DIAGNOSTIC TECHNIQUES; DISEASES; ELECTROMAGNETIC RADIATION; IONIZING RADIATIONS; MEDICINE; NUCLEAR MEDICINE; RADIATIONS; RADIOLOGY

Optional Information

Copyright
Copyright (c) 2018 Japanese Society of Radiological Technology and Japan Society of Medical Physics