The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A review of the application of deep learning in medical image classification and segmentation
Open accessAbstract
Big medical data mainly include electronic health record data, medical image data, gene information data, etc. Among them, medical image data account for the vast majority of medical data at this stage. How to apply big medical data to clinical practice? This is an issue of great concern to medical and computer researchers, and intelligent imaging and deep learning provide a good answer. This review introduces the application of intelligent imaging and deep learning in the field of big data analysis and early diagnosis of diseases, combining the latest research progress of big data analysis of medical images and the work of our team in the field of big data analysis of medical imagec, especially the classification and segmentation of medical images.
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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
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ImageNet classification with deep convolutional neural networks
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Going deeper with convolutions
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Fully convolutional networks for semantic segmentation
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Rethinking the Inception Architecture for Computer Vision
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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Cited by
Yue, G., Wei, P., Zhou, T., Song, Y., Zhao, C., Wang, T., & Lei, B. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3319516 · Cited by 24
Laçi, H., Sevrani, K., & Iqbal, S. (2025) · BMC Medical Imaging · doi:10.1186/s12880-025-01701-5 · Cited by 24
Metadata
- Authors
- Cai, L., Gao, J., & Zhao, D.
- Venue
- Annals of Translational Medicine
- Publisher
- AME Publishing Company
- Published
- 2020-06
- Volume
- 8
- Issue
- 11
- Pages
- 713-713
- ISSN
- 2305-5839 (ISSN-L)
- 2305-5847
- OpenAlex
- W3007943565
- Cited by
- 587
- References
- 46
- FWCI
- 24.92
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Cai, L., Gao, J., & Zhao, D. (2020). A review of the application of deep learning in medical image classification and segmentation. Annals of Translational Medicine. https://doi.org/10.21037/atm.2020.02.44
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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.
