An Efficient and Automatic Framework for Segmentation and Analysis of Tumor Structure in Brain MRI Images
- DOI
- 10.1007/978-3-031-39811-7_6
- Published
- 2023
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-39811-7_6,
title = {An Efficient and Automatic Framework for Segmentation and Analysis of Tumor Structure in Brain MRI Images},
author = {K. Bhima and M. Neelakantappa and K. Dasaradh Ramaiah and A. Jagan},
year = {2023},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-39811-7_6},
url = {https://doi.org/10.1007/978-3-031-39811-7_6}
}RIS
TY - JOUR TI - An Efficient and Automatic Framework for Segmentation and Analysis of Tumor Structure in Brain MRI Images AU - K. Bhima AU - M. Neelakantappa AU - K. Dasaradh Ramaiah AU - A. Jagan PY - 2023 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-39811-7_6 UR - https://doi.org/10.1007/978-3-031-39811-7_6 ER -
APA
Bhima, K., Neelakantappa, M., Ramaiah, K. D., & Jagan, A. (2023). An Efficient and Automatic Framework for Segmentation and Analysis of Tumor Structure in Brain MRI Images. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-39811-7_6
Source records
- crossref · retrieved 2026-11-05T23:36:08.611Z