Brain tumor detection using artificial convolutional neural networks

2022-06-22 · Javier Melchor, Balam Sotelo, Jorge Vera, Horacio Corral

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%.

📄 PDF Abstract BibTeX arXiv:2207.11248

Code (1)

nafiuny/Optimized_TumorClassifierResNetSD pytorch

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Deep learning has shown significant potential in medical image analysis, particularly for disease detection using MRI scans. Accurate and early diagnosis of brain tumors remains challenging due to the complexity of brain…

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