The effect of CT texture-based analysis using machine learning approaches on radiologists' performance in differentiating focal-type autoimmune pancreatitis and pancreatic duct carcinoma

PURPOSE: To develop a support vector machine (SVM) classifier using CT texture-based analysis in differentiating focal-type autoimmune pancreatitis (AIP) and pancreatic duct carcinoma (PD), and to assess the radiologists’ diagnostic performance with or without SVM. MATERIALS AND METHODS: This retros...

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Detalles Bibliográficos
Autores principales: Anai, Kenta, Hayashida, Yoshiko, Ueda, Issei, Hozuki, Eri, Yoshimatsu, Yuuta, Tsukamoto, Jun, Hamamura, Toshihiko, Onari, Norihiro, Aoki, Takatoshi, Korogi, Yukunori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616757/
https://www.ncbi.nlm.nih.gov/pubmed/35727458
http://dx.doi.org/10.1007/s11604-022-01298-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616757/
https://www.ncbi.nlm.nih.gov/pubmed/35727458
http://dx.doi.org/10.1007/s11604-022-01298-7

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