Can a Computer-Aided Mass Diagnosis Model Based on Perceptive Features Learned From Quantitative Mammography Radiology Reports Improve Junior Radiologists’ Diagnosis Performance? An Observer Study

Radiologists’ diagnostic capabilities for breast mass lesions depend on their experience. Junior radiologists may underestimate or overestimate Breast Imaging Reporting and Data System (BI-RADS) categories of mass lesions owing to a lack of diagnostic experience. The computer-aided diagnosis (CAD) m...

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Detalles Bibliográficos
Autores principales: He, Zilong, Li, Yue, Zeng, Weixiong, Xu, Weimin, Liu, Jialing, Ma, Xiangyuan, Wei, Jun, Zeng, Hui, Xu, Zeyuan, Wang, Sina, Wen, Chanjuan, Wu, Jiefang, Feng, Chenya, Ma, Mengwei, Qin, Genggeng, Lu, Yao, Chen, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719464/
https://www.ncbi.nlm.nih.gov/pubmed/34976817
http://dx.doi.org/10.3389/fonc.2021.773389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719464/
https://www.ncbi.nlm.nih.gov/pubmed/34976817
http://dx.doi.org/10.3389/fonc.2021.773389

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