Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features.

Abstract

Authors

• Phattanun Thabarsa
  Master's Degree Program in Data Science, Faculty of Engineering, Chiang Mai University, Chiang Mai, 50200, Thailand.
• Papangkorn Inkeaw
  Data Science Research Center, Department of Computer Science, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand. Electronic address: papangkorn.i@cmu.ac.th.
• Chakri Madla
  Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
• Withawat Vuthiwong
  Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
• Kittisak Unsrisong
  Department of Radiology, Maharaj Nakorn Chiang Mai Hospital, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
• Natipat Jitmahawong
  Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
• Thanwa Sudsang
  Department of Radiology, Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand.
• Chaisiri Angkurawaranon
  Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand. Electronic address: chaisiri.a@cmu.ac.th.
• Salita Angkurawaranon
  Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand. Electronic address: salita.ang@cmu.ac.th.

Keywords

External Resources