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brain-tumour

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aksh-ai / neuralBlack

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A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

deep-learning cnn torch pytorch neural-networks classification accuracy resnet transfer-learning brain resnet-50 transferlearning cnn-classification brain-tumor braintumour brain-tumor-classification brain-tumour brain-tumor-detection
  • Updated Apr 15, 2024
  • Jupyter Notebook

tarun360 / Adversarial-Attack-on-3D-U-Net-model-Brain-Tumour-Segmentation.

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Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

visualization machine-learning computer-vision deep-learning robust segmentation convolutional-neural-networks robustness enhancing u-net fgsm adversarial-attacks unbalanced-data dice-coefficient brain-tumor brain-tumor-segmentaiton brain-tumour fast-gradient-sign-attack carlini-wagner-attack
  • Updated Sep 20, 2023
  • Jupyter Notebook

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