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For: Rani NS, U K, S R. Extraction of Gliomas from 3D MRI Images using Convolution Kernel Processing and Adaptive Thresholding. Procedia Computer Science 2020;167:273-84. [DOI: 10.1016/j.procs.2020.03.221] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Pathak V, Maheswari BU, Iyer S. Modified CNN for Multi-class Brain Tumor Classification in MR Images with Blurred Edges. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) 2022. [DOI: 10.1109/mysurucon55714.2022.9972670] [Reference Citation Analysis]
2 Parioti E, Pitoglou S, Filntisi A, Anastasiou A, Petropoulou O, Koutsouris DD. The Added Value of 3D Imaging and 3D Printing in Head and Neck Surgeries. Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention 2022. [DOI: 10.4018/978-1-6684-7544-7.ch082] [Reference Citation Analysis]
3 Al-rahlawee ATH, Rahebi J. Multilevel thresholding of images with improved Otsu thresholding by black widow optimization algorithm. Multimed Tools Appl 2021;80:28217-43. [DOI: 10.1007/s11042-021-10860-w] [Cited by in Crossref: 7] [Cited by in F6Publishing: 10] [Article Influence: 3.5] [Reference Citation Analysis]
4 [DOI: 10.1109/iiceta50496.2020.9318886] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]