Lesion Classification in Mammograms Using Convolutional Neural Networks and Transfer Learning-Reference-Cited by-同舟云学术

Lesion Classification in Mammograms Using Convolutional Neural Networks and Transfer Learning

Published:2017-10-13 Issue: Volume: Page:360-368
ISSN:2212-9391
Container-title:VipIMAGE 2017
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Author:

Perre Ana,Alexandre Luís A.,Freire Luís C.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-68195-5_40

Reference12 articles.

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2. Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Best Scientific Paper Award Return of the Devil in the Details: Delving Deep into Convolutional Nets British Machine Vision Conference (2014). arXiv.org. https://arxiv.org/pdf/1405.3531v4.pdf

3. Ganesan, K., Acharya, U.R., Chua, C.K., Min, L.C., Abraham, K.T., Ng, K.H.: Computer-aided breast cancer detection using mammograms: a review. IEEE Rev. Biomed. Eng. 6, 77–97 (2013)

4. Jalalian, A., Mashohor, S., Mahmud, H., Saripan, M., Ramli, A., Karasfi, B.: Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review. Clin. Imag. 37, 420–426 (2013)

5. Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding (2014). arXiv:1408.5093

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