Transferring deep neural networks for the differentiation of mammographic breast lesions
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Engineering,General Materials Science
Link
http://link.springer.com/content/pdf/10.1007/s11431-017-9317-3.pdf
Reference38 articles.
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3. Mittal S, Kaur H, Gautam N, et al. Biosensors for breast cancer diagnosis: A review of bioreceptors, biotransducers and signal amplification strategies. Biosens Bioelectron, 2017, 88: 217–231
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5. Tan M, Pu J, Zheng B. Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme. Phys Med Biol, 2014, 59: 4357–4373
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