Mammography mass detection system based on deep learning in diagnosis of breast masses / 中国医学影像技术
Chinese Journal of Medical Imaging Technology
;
(12): 1794-1798, 2019.
Artigo
em Chinês
| WPRIM
| ID: wpr-861134
ABSTRACT
Objective:
To observe the value of a mammogram mass detection system based on deep learning (DL) in diagnosis of breast masses.Methods:
Data of 298 females who underwent mammography examination were retrospectively analyzed. The reference standards of mass detection were established by three senior radiologists. The lesion detection rate and detection stability of two radiologists with working time less than 5 years were compared and analyzed without (physician 1 and physician 2) or with artificial intelligence (AI) (physician 1+AI and physician 2+AI).Results:
The lesion detection rate of physician 1+AI and physician 2+AI were all higher than that of physician 1 and physician 2 (both P0.05).Conclusion:
The mammogram mass detection system based on DL can effectively improve mass detection rate of junior radiologists, and enhance the robustness of detection rate of different type masses.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo diagnóstico
/
Guia de Prática Clínica
Idioma:
Chinês
Revista:
Chinese Journal of Medical Imaging Technology
Ano de publicação:
2019
Tipo de documento:
Artigo
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