Classification models for SPECT myocardial perfusion imaging
COMPUTERS IN BIOLOGY AND MEDICINE, cilt.123, 2020 (SCI-Expanded, Scopus)
- 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).