Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by avoiding the potential errors caused by inaccurate image processing results (e.g., boundary segmentation), as well as the cla...

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Detalles Bibliográficos
Autores principales: Cheng, Jie-Zhi, Ni, Dong, Chou, Yi-Hong, Qin, Jing, Tiu, Chui-Mei, Chang, Yeun-Chung, Huang, Chiun-Sheng, Shen, Dinggang, Chen, Chung-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4832199/
https://www.ncbi.nlm.nih.gov/pubmed/27079888
http://dx.doi.org/10.1038/srep24454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4832199/
https://www.ncbi.nlm.nih.gov/pubmed/27079888
http://dx.doi.org/10.1038/srep24454

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