Convolutional Neural Network-Based Automatic Brain Tumor Detection-Reference-Cited by-同舟云学术

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Convolutional Neural Network-Based Automatic Brain Tumor Detection

Published:2020-11-26 Issue: Volume: Page:463-474
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Waghmare Vishal K.,Kolekar Maheshkumar H.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-7804-5_35

Reference20 articles.

1. Sajjad M, Khan S, Muhammad K, Wanqing Wu, Ullah A, Baik SW (2019) Multi-grade brain tumor classification using deep CNN with extensive data augmentation. J Comput Sci 30:174–182

2. Ari A, Hanbay D (2018) Deep learning based brain tumor classification and detection system. Turkish J Electr Eng Comput Sci 2275–2286

3. McGuire S (2016) Health organization, international agency for research on cancer, world cancer report 2014. Adv Nutr 7:418–419

4. Cheng J, Huang W, Cao S, Yang R, Yang W, Yun Z (2015) Enhanced performance of brain tumor classification via tumor region augmentation and partition. PloS ONE 10

5. Kolekar MH (2011) Bayesian belief network based broadcast sports video indexing. Multimedia Tools Appl 54(1):27–54

Cited by 3 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. Design and Modelling of VGG-16 Architecture for Lung Tumor Detection;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23

2. Dropout AlexNet‐extreme learning optimized with fast gradient descent optimization algorithm for brain tumor classification;Concurrency and Computation: Practice and Experience;2023-01-25

3. RETRACTED: Brain tumor diagnosis from MRI based on Amended Water Strider Algorithm;Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine;2022-09-29

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