Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain

Computer aided detection (CADe) of pulmonary nodules plays an important role in assisting radiologists’ diagnosis and alleviating interpretation burden for lung cancer. Current CADe systems, aiming at simulating radiologists’ examination procedure, are built upon computer tomography (CT) images with...

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Detalles Bibliográficos
Autores principales: Gao, Yongfeng, Tan, Jiaxing, Liang, Zhengrong, Li, Lihong, Huo, Yumei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099542/
https://www.ncbi.nlm.nih.gov/pubmed/32240409
http://dx.doi.org/10.1186/s42492-019-0029-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099542/
https://www.ncbi.nlm.nih.gov/pubmed/32240409
http://dx.doi.org/10.1186/s42492-019-0029-2

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