Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors
Yükleniyor...
Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Wolters Kluwer Health
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
All studies aimed at the differential diagnosis of benign vs. malignant PGTs or the identification of the commonest PGT subtypes were identified, and five studies were found that focused on deep learning-based differential diagnosis of PGTs. Data sets were created in three of these studies with MRI and in two with computed tomography (CT). Additional seven studies were related to radiomics. Of these, four were on MRI-based radiomics, two on CT-based radiomics, and one compared MRI and CT-based radiomics in the same patients.
Açıklama
Anahtar Kelimeler
Artificial intelligence, Deep learning, Machine learning, Parotid gland tumors, Radiomics
Kaynak
Current Opinion in Otolaryngology & Head and Neck Surgery
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
30
Sayı
2
Künye
Gündüz, E., Alçin, Ö. F., Kızılay, A., & Piazza, C. (2021). Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors. Current Opinion in Otolaryngology & Head and Neck Surgery. 30(2), 107-113.
