Brain MR Image Segmentation for Tumor Identification Using Hybrid of FCM Clustering and ResNet-Reference-Cited by-同舟云学术

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Brain MR Image Segmentation for Tumor Identification Using Hybrid of FCM Clustering and ResNet

Published:2022 Issue: Volume: Page:231-245
ISSN:2367-3370
Container-title:Inventive Systems and Control
language:
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Author:

Lathashree P. S.,Puthran Prajna,Yashaswini B. N.,Patil Nagamma

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1012-8_16

Reference19 articles.

1. Alqazzaz S, Sun X, Yang X, Nokes LDM (2019) Automated brain tumor segmentation on multi-modal MR image using SegNet. Comput Visual Media 5:209–219

2. Aslam A, Khan E, Beg MS (2015) Improved edge detection algorithm for brain tumor segmentation. Procedia Comput Sci 58:430–437. In: Second international symposium on computer vision and the internet (VisionNet’15)

3. Bora D, Gupta D (2014) A comparative study between fuzzy clustering algorithm and hard clustering algorithm. Int J Comput Trends Technol 10:108–113

4. Chakrabarty N (2019) Brain MRI images for brain tumor detection. Accessed 20 Oct 2019

5. Chen L, Bentley P, Mori K, Misawa K, Fujiwara M, Rueckert D (2018) Drinet for medical image segmentation. IEEE Trans Med Imaging 37(11):2453–2462

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. Detection Of MRI Brain Tumor Using Customized Deep Learning Method Via Web App;2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC);2023-02-10

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