Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors

Yükleniyor...
Küçük Resim

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.