The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models
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Citations
Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
How transferable are features in deep neural networks?
Yosinski, J., Clune, J., Bengio, Y., & Lipson, H. (2014) · arXiv · doi:10.48550/arxiv.1411.1792 · Cited by 6,061
Cruz-Roa, A. A., Arevalo Ovalle, J. E., Madabhushi, A., & González Osorio, F. A. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-40763-5_50 · Cited by 403
Cited by
Shin, H.-C., Roth, H. R., Gao, M., Lu, L., Xu, Z., Nogues, I., Yao, J., Mollura, D., & Summers, R. M. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2528162 · Cited by 5,759
“multiview for mammogram analysis [16] and classifying pul-”
MethodConvolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Tajbakhsh, N., Shin, J. Y., Gurudu, S. R., Hurst, R. T., Kendall, C. B., Gotway, M. B., & Liang, J. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2535302 · Cited by 3,277
(2015) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-24553-9 · Cited by 2,285
Deep Convolutional Neural Networks for breast cancer screening
Chougrad, H., Zouaki, H., & Alheyane, O. (2018) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2018.01.011 · Cited by 470
CNNs for automatic glaucoma assessment using fundus images: an extensive validation
Diaz-Pinto, A., Morales, S., Naranjo, V., Köhler, T., Mossi, J. M., & Navea, A. (2019) · BioMedical Engineering OnLine · doi:10.1186/s12938-019-0649-y · Cited by 435
Metadata
- Authors
- Carneiro, G., Nascimento, J., & Bradley, A. P.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2015
- Pages
- 652-660
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2216351247
- Cited by
- 235
- References
- 3
- FWCI
- 13.64
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Carneiro, G., Nascimento, J., & Bradley, A. P. (2015). Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-24574-4_78
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
