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Experimental Deep Learning Brain Tumor MRI Detection and Classification Project. This is work in progress. Uses Image Pre-processing to hightlight features. Train and test 3 types (VGG14, InceptionV3, ResNet50) of Convolutional Neural Network Architectures and assess accuracy metrics of each type. New Section will apply CSPNet (Cross Stage Parti…

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CNN-BrainTumorDetection

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Experimental Deep Learning Brain Tumor MRI Detection and Classification Project. This is work in progress. Uses Image Pre-processing to hightlight features. Train and test 3 types (VGG14, InceptionV3, ResNet50) of Convolutional Neural Network Architectures and asess accuracy metrics of each type. New Section will apply CSPNet (Cross Stage Partial Networks, Jun-Wei Hsieh et. al.) to same Brain Tumor Data.

Credits, Ruslan Klymentiev, Jun-Wei Hsieh et. al., Navoneel Charabarty (data from Kaggle)

Alfeo Sabay, MS Data Science Nov 2019

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Experimental Deep Learning Brain Tumor MRI Detection and Classification Project. This is work in progress. Uses Image Pre-processing to hightlight features. Train and test 3 types (VGG14, InceptionV3, ResNet50) of Convolutional Neural Network Architectures and assess accuracy metrics of each type. New Section will apply CSPNet (Cross Stage Parti…

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