Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans.
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ABSTRACT:
SUBMITTER: Cheng JZ
PROVIDER: S-EPMC4832199 | biostudies-literature | 2016 Apr
REPOSITORIES: biostudies-literature
Publications
Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans.
Cheng Jie-Zhi JZ Ni Dong D Chou Yi-Hong YH Qin Jing J Tiu Chui-Mei CM Chang Yeun-Chung YC Huang Chiun-Sheng CS Shen Dinggang D Chen Chung-Ming CM
Scientific reports 20160415
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 classification bias resulting from a less robust feature set, as involved in most conventional CADx algorithms. Specifically, the stacked denoising auto-encoder (SDAE) is exploited on the two CADx applic ...[more]
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