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Brain tumor detection using artificial convolutional neural networks

Image and Video Processing 2022-07-26 v1 Computer Vision and Pattern Recognition Machine Learning
Authors: Javier Melchor , Balam Sotelo , Jorge Vera , Horacio Corral
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Abstract

In this paper, a convolutional neural network (CNN) was used to classify NMR images of human brains with 4 different types of tumors: meningioma, glioma and pituitary gland tumors. During the training phase of this project, an accuracy of 100% was obtained, meanwhile, in the evaluation phase the precision was 96%.

Keywords

brain tumor segmentation cancer detection and segmentation deep learning segmentation

Cite

@article{arxiv.2207.11248,
  title  = {Brain tumor detection using artificial convolutional neural networks},
  author = {Javier Melchor and Balam Sotelo and Jorge Vera and Horacio Corral},
  journal= {arXiv preprint arXiv:2207.11248},
  year   = {2022}
}

Comments

4 pages, 2 figures

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