共 34 条
[1]
Yogananda C.G.B., Shah B.R., Vejdani-Jahromi M., Nalawade S.S., Murugesan G.K., Yu F.F., Pinho M.C., Wagner B.C., Emblem K.E., Bjornerud A., A fully automated deep learning network for brain tumor segmentation, Tomography, 6, 2, pp. 186-193, (2020)
[2]
Soomro T.A., Zheng L., Afifi A.J., Ali A., Soomro S., Yin M., Gao J., Image segmentation for mr brain tumor detection using machine learning: A review, IEEE Reviews in Biomedical Engineering, (2022)
[3]
Liu Z., Tong L., Chen L., Jiang Z., Zhou F., Zhang Q., Zhang X., Jin Y., Zhou H., Deep learning based brain tumor segmentation: A survey, Complex & Intelligent Systems, 9, 1, pp. 1001-1026, (2023)
[4]
Magadza T., Viriri S., Deep learning for brain tumor segmentation: A survey of state-of-the-art, Journal of Imaging, 7, 2, (2021)
[5]
Somasundaram S., Gobinath R., Current trends on deep learning models for brain tumor segmentation and detection-a review, 2019 International conference on machine learning, big data, cloud and parallel computing (COMITCon), IEEE, pp. 217-221, (2019)
[6]
Biratu E.S., Schwenker F., Ayano Y.M., Debelee T.G., A survey of brain tumor segmentation and classification algorithms, Journal of Imaging, 7, 9, (2021)
[7]
Devunooru S., Alsadoon A., Chandana P., Beg A., Deep learning neural networks for medical image segmentation of brain tumours for diagnosis: A recent review and taxonomy, Journal of Ambient Intelligence and Humanized Computing, 12, pp. 455-483, (2021)
[8]
Zhang W., Wu Y., Yang B., Hu S., Wu L., Dhelim S., Overview of multi-modal brain tumor mr image segmentation, Healthcare, MDPI, 9, (2021)
[9]
Karimi D., Salcudean S.E., Reducing the hausdorff distance in medical image segmentation with convolutional neural networks, IEEE Transactions on Medical Imaging, 39, 2, pp. 499-513, (2019)
[10]
Arabi H., Dowling J.A., Burgos N., Han X., Greer P.B., Koutsouvelis N., Zaidi H., Comparative study of algorithms for synthetic ct generation from mri: Consequences for mri-guided radiation planning in the pelvic region, Medical Physics, 45, 11, pp. 5218-5233, (2018)