Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing

Author:

Letyagin Andrey,Golushko Sergey,Amelin Mikhail,Tuchinov Bair,Amelina Evgeniya,Tolstokulakov Nikolay,Pavlovskiy Evgeniy,Groza Vladimir

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving Brain Tumor MRI Images with Pre-Processing Techniques for Noise Removal;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

2. Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods;2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB);2023-09-28

3. Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks;2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI);2022-03-28

4. Brain Tumor Segmentation with Self-supervised Enhance Region Post-processing;Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries;2022

5. An Extended Fuzzy C-Means Segmentation for an Efficient BTD With the Region of Interest of SCP;International Journal of Information Technology Project Management;2021-10

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