Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach

<p dir="ltr">Brain cancer is a life-threatening disease requiring close attention. Early and accurate diagnosis using non-invasive medical imaging is critical for successful treatment and patient survival. However, manual diagnosis by radiologist experts is time-consuming and has lim...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zubair Saeed (19325647) (author)
مؤلفون آخرون:	Othmane Bouhali (8252544) (author), Jim Xiuquan Ji (19325650) (author), Rabih Hammoud (14776912) (author), Noora Al-Hammadi (17346808) (author), Souha Aouadi (14776921) (author), Tarraf Torfeh (17760138) (author)
منشور في:	2024
الموضوعات:	Biomedical and clinical sciences Oncology and carcinogenesis Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning deep learning magnetic resonance imaging classification machine learning deep convolutional neural networks dual DCNN model inceptionV3 denseNet121 resNet50 resNet34 resNet18 efficientNetB2 squeezeNet VGG16 alexNet leNet-5 learning rates
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Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach

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