Investigating the Impact of Two Major Programming Environments on the Accuracy of Deep Learning-Based Glioma Detection from MRI Images.

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作者： Vadi Su,Yilmaz ^[1] ; Metehan,Akdag ^[2] ; Yaser,Dalveren ^[1] ; Resat Ozgur,Doruk ^[1] ; Ali,Kara ^[3] ; Ahmet,Soylu ^[4]

作者单位： Department of Electrical and Electronics Engineering, Atilim University, Kizilcasar Mahallesi, Incek Golbasi, Ankara 06830, Turkey. ^[1] Fonet Information Technologies, Kizilirmak Mahallesi, Cukurambar Cankaya, Ankara 06520, Turkey. ^[2] Department of Electrical and Electronics Engineering, Gazi University, Eti Mahallesi, Yukselis Sokak, Maltepe, Ankara 06570, Turkey. ^[3] Department of Computer Science, OsloMet-Oslo Metropolitan University, Pilestredet 35, Oslo 0167, Norway. ^[4]

关键词 MATLAB Python U-Net V-Net brain tumor detection deep learning glioma performance assessment

DOI 10.3390/diagnostics13040651

PMID 36832138

发布时间 2023-02-28

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Diagnostics (Basel, Switzerland)

2023年13卷4期

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Investigating the Impact of Two Major Programming Environments on the Accuracy of Deep Learning-Based Glioma Detection from MRI Images.

Diagnostics (Basel, Switzerland)

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Diagnostics (Basel, Switzerland)

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Investigating the Impact of Two Major Programming Environments on the Accuracy of Deep Learning-Based Glioma Detection from MRI Images.

Diagnostics (Basel, Switzerland)

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Diagnostics (Basel, Switzerland)

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