Your browser doesn't support javascript.
loading
The Utility of Applying Various Image Preprocessing Strategies to Reduce the Ambiguity in Deep Learning-based Clinical Image Diagnosis.
Tachibana, Yasuhiko; Obata, Takayuki; Kershaw, Jeff; Sakaki, Hironao; Urushihata, Takuya; Omatsu, Tokuhiko; Kishimoto, Riwa; Higashi, Tatsuya.
Affiliation
  • Tachibana Y; Applied MRI Research, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology.
  • Obata T; Applied MRI Research, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology.
  • Kershaw J; Applied MRI Research, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology.
  • Sakaki H; Kansai Photon Science Institute, National Institutes for Quantum and Radiological Science and Technology.
  • Urushihata T; Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology.
  • Omatsu T; Applied MRI Research, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology.
  • Kishimoto R; Applied MRI Research, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology.
  • Higashi T; Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology.
Magn Reson Med Sci ; 19(2): 92-98, 2020 May 01.
Article in En | MEDLINE | ID: mdl-31080211
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Image Interpretation, Computer-Assisted / Deep Learning Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Magn Reson Med Sci Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Image Interpretation, Computer-Assisted / Deep Learning Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Magn Reson Med Sci Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Country of publication: