The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification
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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
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Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.81 · Cited by 32,684
Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
Backpropagation Applied to Handwritten Zip Code Recognition
LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., & Jackel, L. D. (1989) · Neural Computation · doi:10.1162/neco.1989.1.4.541 · Cited by 11,891
Going Deeper with Convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2014) · arXiv · doi:10.48550/arxiv.1409.4842 · Cited by 1,461
Ciompi, F., de Hoop, B., van Riel, S. J., Chung, K., Scholten, E. T., Oudkerk, M., de Jong, P. A., Prokop, M., & Ginneken, B. V. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.08.001 · Cited by 289
Cited by
Convolutional neural networks in medical image understanding: a survey
Sarvamangala, D. R., & Kulkarni, R. V. (2022) · Evolutionary Intelligence · doi:10.1007/s12065-020-00540-3 · Cited by 917
Wang, P., Fan, E., & Wang, P. (2021) · Pattern Recognition Letters · doi:10.1016/j.patrec.2020.07.042 · Cited by 847
Applications of deep learning and reinforcement learning to biological data
Mahmud, M., Kaiser, M. S., Hussain, A., & Vassanelli, S. (2018) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2018.2790388 · Cited by 765
Wang, S., Zhou, M., Liu, Z., Liu, Z., Gu, D., Zang, Y., Dong, D., Gevaert, O., & Tian, J. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.06.014 · Cited by 478
Self-citationAutomated pulmonary nodule detection in CT images using deep convolutional neural networks
Xie, H., Yang, D., Sun, N., Chen, Z., & Zhang, Y. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2018.07.031 · Cited by 459
Metadata
- Authors
- Shen, W., Zhou, M., Yang, F., Yu, D., Dong, D., Yang, C., Zang, Y., & Tian, J.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 61
- Pages
- 663-673
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2394599079
- Cited by
- 635
- References
- 9
- FWCI
- 38.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification. https://app.cochat.ai/papers/10.1016/j.patcog.2016.05.029
- The paper
- Shen, W., Zhou, M., Yang, F., Yu, D., Dong, D., Yang, C., Zang, Y., & Tian, J. (2017). Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification. Pattern Recognition. https://doi.org/10.1016/j.patcog.2016.05.029
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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.
