Identification and diagnosis of mammographic malignant architectural distortion using a deep learning based mask regional convolutional neural network

BACKGROUND: Architectural distortion (AD) is a common imaging manifestation of breast cancer, but is also seen in benign lesions. This study aimed to construct deep learning models using mask regional convolutional neural network (Mask-RCNN) for AD identification in full-field digital mammography (F...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yuanyuan, Tong, Yunfei, Wan, Yun, Xia, Ziqiang, Yao, Guoyan, Shang, Xiaojing, Huang, Yan, Chen, Lijun, Chen, Daniel Q., Liu, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075355/
https://www.ncbi.nlm.nih.gov/pubmed/37035200
http://dx.doi.org/10.3389/fonc.2023.1119743

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075355/
https://www.ncbi.nlm.nih.gov/pubmed/37035200
http://dx.doi.org/10.3389/fonc.2023.1119743

Ejemplares similares