The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm
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Hinton, G., Deng, L., Yu, D., Dahl, G., Mohamed, A.-R., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T., et al. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2205597 · Cited by 10,260
Machine Learning Applications in Cancer Prognosis and Prediction
Kourou, K., Exarchos, T. P., Exarchos, K. P., Karamouzis, M. V., & Fotiadis, D. I. (2015) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2014.11.005 · Cited by 3,338
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Ordóñez, F., & Roggen, D. (2016) · Sensors · doi:10.3390/s16010115 · Cited by 2,761
Deep Convolutional Neural Network for Inverse Problems in Imaging
Jin, K. H., McCann, M. T., Froustey, E., & Unser, M. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2713099 · Cited by 2,529
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
Dou, Q., Chen, H., Yu, L., Zhao, L., Qin, J., Wang, D., Mok, V. C., Shi, L., & Heng, P.-A. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2528129 · Cited by 679
Survey on deep learning for radiotherapy
Meyer, P., Noblet, V., Mazzara, C., & Lallement, A. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.05.018 · Cited by 302
Cited by
Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging
Arun, N., Gaw, N., Singh, P., Chang, K., Aggarwal, M., Chen, B., Hoebel, K., Gupta, S., Patel, J., Gidwani, M., et al. (2021) · Radiology: Artificial Intelligence · doi:10.1148/ryai.2021200267 · Cited by 342
Fuzzy System Based Medical Image Processing for Brain Disease Prediction
Hu, M., Zhong, Y., Xie, S., Lv, H., & Lv, Z. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.714318 · Cited by 292
Deep learning in medical image analysis: A third eye for doctors
Fourcade, A., & Khonsari, R. H. (2019) · Journal of Stomatology, Oral and Maxillofacial Surgery · doi:10.1016/j.jormas.2019.06.002 · Cited by 284
Martín Noguerol, T., Paulano-Godino, F., Martín-Valdivia, M. T., Menias, C. O., & Luna, A. (2019) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2019.05.047 · Cited by 175
Rokhshad, R., Salehi, S. N., Yavari, A., Shobeiri, P., Esmaeili, M., Manila, N., Motamedian, S. R., & Mohammad-Rahimi, H. (2024) · Oral Radiology · doi:10.1007/s11282-023-00715-5 · Cited by 23
Metadata
- Authors
- Jeyaraj, P. R., & Samuel Nadar, E. R.
- Venue
- Journal of Cancer Research and Clinical Oncology
- Published
- 2019-01-03
- Volume
- 145
- Issue
- 4
- Pages
- 829-837
- ISSN
- 0084-5353 (ISSN-L)
- 0171-5216
- 1432-1335
- OpenAlex
- W2907632336
- Cited by
- 360
- References
- 6
- FWCI
- 16.35
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm. https://app.cochat.ai/papers/10.1007/s00432-018-02834-7
- The paper
- Jeyaraj, P. R., & Samuel Nadar, E. R. (2019). Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm. Journal of Cancer Research and Clinical Oncology. https://doi.org/10.1007/s00432-018-02834-7
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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.
