Complete 3D brain tumour detection using a two-phase method along with confidence function evaluation-Reference-Cited by-同舟云学术

Complete 3D brain tumour detection using a two-phase method along with confidence function evaluation

Published:2021-09-12 Issue:1 Volume:81 Page:437-458
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Debnath Sushanta^ORCID,Talukdar Fazal A.,Islam Mohiul

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-021-11443-5.pdf

Reference42 articles.

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2. Ahmed HM, Youssef BAB, Elkorany AS et al (2019) Hybridized classification approach for magnetic resonance brain images using gray wolf optimizer and support vector machine. Multimed Tools Appl 78:27983–28002

3. Akbar AS, Fatichah C, Suciati N (2000) Simple MyUnet3D for BraTS segmentation. In: 2020 4th International Conference on Informatics and Computational Sciences (ICICoS), Semarang, 1–6 https://doi.org/10.1109/ICICoS51170.2020.9299072

4. Anitha V, Murugavalli S (2016) Brain tumour classification using two-tier classifier with adaptive segmentation technique. IET Comput Vision 10(1):9–17

5. Arulanandam S, Selvarasu S (2018) Adaptive weighted fuzzy region based optimization for brain MR image segmentation. Multimed Tools Appl 79(5):1–19

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