Segmentation and classification of brain tumors using fuzzy 3D highlighting and machine learning-Reference-Cited by-同舟云学术

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Segmentation and classification of brain tumors using fuzzy 3D highlighting and machine learning

Published:2023-05-11 Issue:11 Volume:149 Page:9025-9041
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Mowlani Khalil,Jafari Shahbazzadeh Mehdi,Hashemipour Maliheh

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00432-023-04754-7.pdf

Reference39 articles.

1. Abiwinanda N, Hanif M, Hesaputra ST, Handayani A, Mengko TR (2019) Brain tumor classification using convolutional neural network. In: Paper presented at the world congress on medical physics and biomedical engineering 2018: June 3–8, 2018, Prague, Czech Republic, vol 1

2. Aljarah I, Al-Zoubi AM, Faris H, Hassonah MA, Mirjalili S, Saadeh H (2018) Simultaneous feature selection and support vector machine optimization using the grasshopper optimization algorithm. Cogn Comput 10:478–495

3. Anaraki AK, Ayati M, Kazemi F (2019) Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms. Biocybern Biomed Eng 39(1):63–74

4. Arif S, Wang J, Ul Hassan T, Fei Z (2019) 3d-cnn-based fused feature maps with lstm applied to action recognition. Future Internet 11(2):42

5. Bahadure NB, Ray AK, Thethi HP (2017) Image analysis for mri based brain tumor detection and feature extraction using biologically inspired bwt and svm. Int J Biomed Imaging

Cited by 1 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. Brain Tumor Detection and Classification Using Hybrid VGG Network;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

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