A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification.

Abstract

Authors

• I Gusti Lanang Ngurah Agung Artha Wiguna
  Department of Orthopaedic Surgery, Udayana University, Prof I G N G Ngoerah Hospital Jl. Diponegoro, Dauh Puri Klod, Denpasar, Bali, 80113, Indonesia. dr_lan2002@yahoo.com.
• Yosi Kristian
  Institut Sains dan Teknologi Terpadu Surabaya, Surabaya, East Java, Indonesia.
• Maria Florencia Deslivia
  Department of Orthopedic Surgery, St Carolus Hospital, Jakarta, Indonesia.
• Rudi Limantara
  Institut Sains dan Teknologi Terpadu Surabaya, Surabaya, East Java, Indonesia.
• David Cahyadi
  Institut Sains dan Teknologi Terpadu Surabaya, Surabaya, East Java, Indonesia.
• Ivan Alexander Liando
  Department of Orthopaedic Surgery, Udayana University, Prof I G N G Ngoerah Hospital Jl. Diponegoro, Dauh Puri Klod, Denpasar, Bali, 80113, Indonesia.
• Hendra Aryudi Hamzah
  Department of Orthopaedic Surgery, Udayana University, Prof I G N G Ngoerah Hospital Jl. Diponegoro, Dauh Puri Klod, Denpasar, Bali, 80113, Indonesia.
• Kevin Kusuman
  Department of Orthopaedic Surgery, Udayana University, Prof I G N G Ngoerah Hospital Jl. Diponegoro, Dauh Puri Klod, Denpasar, Bali, 80113, Indonesia.
• Dominicus Dimitri
  Department of Orthopaedic Surgery, Udayana University, Prof I G N G Ngoerah Hospital Jl. Diponegoro, Dauh Puri Klod, Denpasar, Bali, 80113, Indonesia.
• Maria Anastasia
  Department of Orthopaedic Surgery, Udayana University, Prof I G N G Ngoerah Hospital Jl. Diponegoro, Dauh Puri Klod, Denpasar, Bali, 80113, Indonesia.
• I Ketut Suyasa
  Department of Orthopaedic Surgery, Udayana University, Prof I G N G Ngoerah Hospital Jl. Diponegoro, Dauh Puri Klod, Denpasar, Bali, 80113, Indonesia.

Keywords

External Resources