Effect of a Deep Learning Framework-Based Computer-Aided Diagnosis System on the Diagnostic Performance of Radiologists in Differentiating between Malignant and Benign Masses on Breast Ultrasonography

OBJECTIVE: To investigate whether a computer-aided diagnosis (CAD) system based on a deep learning framework (deep learning-based CAD) improves the diagnostic performance of radiologists in differentiating between malignant and benign masses on breast ultrasound (US). MATERIALS AND METHODS: B-mode U...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Korean J Radiol
Egile Nagusiak: Choi, Ji Soo, Han, Boo-Kyung, Ko, Eun Sook, Bae, Jung Min, Ko, Eun Young, Song, So Hee, Kwon, Mi-ri, Shin, Jung Hee, Hahn, Soo Yeon
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: The Korean Society of Radiology 2019
Gaiak:
Breast Imaging
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6470083/
https://ncbi.nlm.nih.gov/pubmed/30993926
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2018.0530
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak