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A Survey on Medical Image Segmentation
Abstract
Much work has been done in the field of Image segmentation but still there is a room for improvement. Medical image segmentation is a sub field of image segmentation in digital image processing that has many important applications in the prospect of medical image analysis and diagnostics. Here in this paper different approaches of medical image segmentation will be classified along with their sub fields and sub methods. Recent techniques proposed in each category will also be discussed followed by a comparison of these methods. Keywords: Atlas guided methods, Bayesian method, classifiers, clustering, deformable models, Markov random field, Medical image segmentation, modalities, neural networks, region growing, thresholding.
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Citations
Cited by
Medical image segmentation using deep learning: A survey
Wang, R., Lei, T., Cui, R., Zhang, B., Meng, H., & Nandi, A. K. (2022) · IET Image Processing · doi:10.1049/ipr2.12419 · Cited by 892
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Panayides, A. S., Amini, A., Filipovic, N. D., Sharma, A., Tsaftaris, S. A., Young, A., Foran, D., Do, N., Golemati, S., Kurc, T., et al. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2991043 · Cited by 713
Brain tumor detection and classification using machine learning: a comprehensive survey
Amin, J., Sharif, M., Haldorai, A., Yasmin, M., & Nayak, R. S. (2022) · Complex & Intelligent Systems · doi:10.1007/s40747-021-00563-y · Cited by 503
Self-citationSemi-supervised medical image segmentation via uncertainty rectified pyramid consistency
Luo, X., Wang, G., Liao, W., Chen, J., Song, T., Chen, Y., Zhang, S., Metaxas, D. N., & Zhang, S. (2022) · Medical Image Analysis · doi:10.1016/j.media.2022.102517 · Cited by 409
Luo, X., Wang, G., Song, T., Zhang, J., Aertsen, M., Deprest, J., Ourselin, S., Vercauteren, T., & Zhang, S. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102102 · Cited by 126
Metadata
- Authors
- Masood, S., Sharif, M., Masood, A., Yasmin, M., & Raza, M.
- Venue
- Current Medical Imaging Reviews
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2015-04-23
- Volume
- 11
- Issue
- 1
- Pages
- 3-14
- ISSN
- 1573-4056 (ISSN-L)
- OpenAlex
- W2764063958
- Cited by
- 188
- References
- 0
- FWCI
- 8.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Masood, S., Sharif, M., Masood, A., Yasmin, M., & Raza, M. (2015). A Survey on Medical Image Segmentation. Current Medical Imaging Reviews. https://doi.org/10.2174/157340561101150423103441
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