Efficient Deep Learning Neural Network Based Brain Tumour Detection System
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Views: 101 , Downloads: 89 | CTR: 88 % | Weekly Popularity: ⮙3

Research Paper | Computer Science | India | Volume 9 Issue 9, September 2020

Efficient Deep Learning Neural Network Based Brain Tumour Detection System

Satyak Babar, Ansaf Raza, Anto S

The work of this project is applying the convolution neural network concept to perform brain tumors segmentation using MRI images of brain and to measure its accuracy. The used method aims to find cancerous cells in brain using Deep learning based Fully Convolution network using U-net model. It has been compared with various other techniques and conclusions are made.

Keywords: U-net, glioma, pooling, segmentation, edema, necrosis

Edition: Volume 9 Issue 9, September 2020

Pages: 349 - 352

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How to Cite this Article?

Satyak Babar, Ansaf Raza, Anto S, "Efficient Deep Learning Neural Network Based Brain Tumour Detection System", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20197168, Volume 9 Issue 9, September 2020, 349 - 352

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