Multi-class brain tumor classification using residual network and global average pooling-Reference-Cited by-同舟云学术

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Multi-class brain tumor classification using residual network and global average pooling

Published:2021-01-15 Issue:9 Volume:80 Page:13429-13438
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kumar R Lokesh,Kakarla Jagadeesh,Isunuri B Venkateswarlu,Singh Munesh

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/s11042-020-10335-4.pdf

Reference21 articles.

1. American Brain Tumor Association: Brain tumor education. https://www.abta.org/about-brain-tumors/brain-tumor-education/

2. 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

3. Chahal PK, Pandey S, Goel S (2020) A survey on brain tumor detection techniques for mr images. Multimed Tools Appl

4. Cheng J, Yang W, Huang M, Huang W, Jiang J, Zhou Y (2016) Retrieval of brain tumors by adaptive spatial pooling and fisher vector representation. PLos ONE 11(6)

5. Cheng J Brain tumor dataset. https://figshare.com/articles/brain_tumor_dataset/1512427

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