The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
A multi-class skin Cancer classification using deep convolutional neural networks
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Citations
Cites
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148
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
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109
Rethinking the Inception Architecture for Computer Vision
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.308 · Cited by 32,138
Pan, S. J., & Yang, Q. (2010) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2009.191 · Cited by 23,387
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
Xception: Deep Learning with Depthwise Separable Convolutions
Chollet, F. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.195 · Cited by 20,380
Siegel, R. L., Miller, K. D., & Jemal, A. (2019) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21551 · Cited by 20,160
Cited by
Shetty, B., Fernandes, R., Rodrigues, A. P., Chengoden, R., Bhattacharya, S., & Lakshmanna, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-22644-9 · Cited by 290
Khan, M. A., Sharif, M., Akram, T., Damaševičius, R., & Maskeliūnas, R. (2021) · Diagnostics · doi:10.3390/diagnostics11050811 · Cited by 281
Machine learning and deep learning algorithms for skin cancer classification from dermoscopic images
Bechelli, S., & Delhommelle, J. (2022) · Bioengineering · doi:10.3390/bioengineering9030097 · Cited by 181
Melarkode, N., Srinivasan, K., Qaisar, S. M., & Plawiak, P. (2023) · Cancers · doi:10.3390/cancers15041183 · Cited by 144
An effective skin cancer classification mechanism via medical vision transformer
Aladhadh, S., Alsanea, M., Aloraini, M., Khan, T., Habib, S., & Islam, M. (2022) · Sensors · doi:10.3390/s22114008 · Cited by 113
Metadata
- Authors
- Chaturvedi, S. S., Tembhurne, J. V., & Diwan, T.
- Venue
- Multimedia Tools and Applications
- Published
- 2020-08-04
- Volume
- 79
- Issue
- 39-40
- Pages
- 28477-28498
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W3046939034
- Cited by
- 283
- References
- 69
- FWCI
- 10.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A multi-class skin Cancer classification using deep convolutional neural networks. https://app.cochat.ai/papers/10.1007/s11042-020-09388-2
- The paper
- Chaturvedi, S. S., Tembhurne, J. V., & Diwan, T. (2020). A multi-class skin Cancer classification using deep convolutional neural networks. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-020-09388-2
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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.
