Effective End-to-End Deep Learning Process in Medical Imaging Using Independent Task Learning: Application for Diagnosis of Maxillary Sinusitis.

Abstract

Authors

• Jang-Hoon Oh
  Department of Biomedical Science and Technology, Graduate School, Kyung Hee University, Seoul, Korea.
• Hyug-Gi Kim
  Department of Biomedical Engineering, Graduate School, Kyung Hee University, 1732, Deogyeong-daero, Giheunggu, Yongin-si, Gyeonggi-do 446-701, Korea.
• Kyung Mi Lee
  Department of Radiology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, #23 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea.
• Chang-Woo Ryu
  Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University 892 Dongnam-ro, Gangdong-Gu, Seoul-05278, Korea.
• Soonchan Park
  Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University 892 Dongnam-ro, Gangdong-Gu, Seoul-05278, Korea.
• Ji Hye Jang
  Department of Radiology, Korea Cancer Center Hospital, Seoul, Korea.
• Hyun Seok Choi
  Department of Radiology, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
• Eui Jong Kim
  Department of Radiology, Kyung Hee University Hospital, Seoul, Korea.

Keywords

External Resources