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673958639 / Convolutional-Neural-Network-for-Brain-Lesion-Segmentation-in-MRI-Images

In this work, four popular deep convolutional neural networks (U-NET, DeepLab, FCN and SegNet) for image segmentation are constructed and compared. This comparison reveals the tradeoff between achieving effective segmentation and segmentation accuracy. Using deep learning, specifically convolutional neural network methods, to build and train models
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Question consultation #2

Open yaolp123 opened 1 year ago

yaolp123 commented 1 year ago

Dear authors: Recently I have looking your this project and feel interested in it ! And How could I download the dataset?

Best regards.

Acelyn commented 1 year ago

Dear authors: Recently I have looking your this project and feel interested in it ! And How could I download the dataset?

Best regards.

Dear,

Thank you for your interest in our project! Regarding your question, we used the Brain Tumor Segmentation 2020 dataset from Kaggle.

Best.

yaolp123 commented 1 year ago

Dear authors: I am pleased to hear from your reply. And I want to ask whether this website: https://www.kaggle.com/datasets/awsaf49/brats20-dataset-training-validation?

Best regards.