Classification models for SPECT myocardial perfusion imaging

Berkaya S. K., AK SİVRİKOZ İ., Gunal S.

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.123, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 123
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.compbiomed.2020.103893
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Agricultural & Environmental Science Database, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, CINAHL, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE, Library, Information Science & Technology Abstracts (LISTA)
  • Anahtar Kelimeler: Computer-aided diagnosis, Coronary artery disease, Deep learning, Myocardial perfusion imaging, SPECT, CORONARY-ARTERY-DISEASE, IMPROVED ACCURACY, DIAGNOSIS, SYSTEM
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

Objective: The main goal of this work is to develop computer-aided classification models for single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) to identify perfusion abnormalities (myocardial ischemia and/or infarction).