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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2019
Materias:
Breast Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470083/
https://www.ncbi.nlm.nih.gov/pubmed/30993926
http://dx.doi.org/10.3348/kjr.2018.0530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470083/
https://www.ncbi.nlm.nih.gov/pubmed/30993926
http://dx.doi.org/10.3348/kjr.2018.0530

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