Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans-Reference-Cited by-同舟云学术

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

Published:2016-04 Issue:1 Volume:6 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Cheng Jie-Zhi,Ni Dong,Chou Yi-Hong,Qin Jing,Tiu Chui-Mei,Chang Yeun-Chung,Huang Chiun-Sheng,Shen Dinggang,Chen Chung-Ming

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/srep24454.pdf

Reference48 articles.

1. Doi, K. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput. Med. Imaging Graph. 31, 198–211 (2007).

2. van Ginneken, B., Schaefer-Prokop, C. M. & Prokop, M. Computer-aided diagnosis: how to move from the laboratory to the clinic. Radiology 261, 719–732 (2011).

3. Giger, M. L., Chan, H.-P. & Boone, J. Anniversary paper: history and status of CAD and quantitative image analysis: the role of medical physics and AAPM. Med. Phys. 35, 5799–5820 (2008).

4. Cheng, J.-Z. et al. Computer-aided US diagnosis of breast lesions by using cell-based contour grouping1. Radiology 255, 746–754 (2010).

5. Giger, M. L., Karssemeijer, N. & Schnabel, J. A. Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer. Annu. Rev. Biomed. Eng. 15, 327–357 (2013).

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