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Automatic fetal biometry prediction using a novel deep convolutional network architecture.
Ghelich Oghli, Mostafa; Shabanzadeh, Ali; Moradi, Shakiba; Sirjani, Nasim; Gerami, Reza; Ghaderi, Payam; Sanei Taheri, Morteza; Shiri, Isaac; Arabi, Hossein; Zaidi, Habib.
Affiliation
  • Ghelich Oghli M; Research and Development Department, Med Fanavarn Plus Co., Karaj, Iran; Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium. Electronic address: m.g31_mesu@yahoo.com.
  • Shabanzadeh A; Research and Development Department, Med Fanavarn Plus Co., Karaj, Iran. Electronic address: shabanzadeh.ali@gmail.com.
  • Moradi S; Research and Development Department, Med Fanavarn Plus Co., Karaj, Iran.
  • Sirjani N; Research and Development Department, Med Fanavarn Plus Co., Karaj, Iran.
  • Gerami R; Radiation Sciences Research Center (RSRC), Aja University of Medical Sciences, Tehran, Iran.
  • Ghaderi P; Research and Development Department, Med Fanavarn Plus Co., Karaj, Iran.
  • Sanei Taheri M; R Department of Radiology, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Shiri I; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211 Geneva 4, Switzerland.
  • Arabi H; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211 Geneva 4, Switzerland.
  • Zaidi H; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211 Geneva 4, Switzerland; Geneva University Neurocenter, Geneva University, CH-1205 Geneva, Switzerland; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groni
Phys Med ; 88: 127-137, 2021 Aug.
Article in En | MEDLINE | ID: mdl-34242884
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometry / Neural Networks, Computer Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Phys Med Journal subject: BIOFISICA / BIOLOGIA / MEDICINA Year: 2021 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometry / Neural Networks, Computer Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Phys Med Journal subject: BIOFISICA / BIOLOGIA / MEDICINA Year: 2021 Document type: Article