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brain_tumor_detection – AI Model by shumailabatool | AlphaNeural AI
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shumailabatool
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brain_tumor_detection
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keras
medical
biology
image-classification
en
rocky93/BraTS_segmentation
apache-2.0
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Brain_Tumor_Classification
This model is a fine-tuned version on the braTS20 dataset. It achieves the following results on the evaluation set:
Loss: 0.0272
Accuracy: 0.9912
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.000001
min_lr=0.000001
num_epochs: 5
optimizer: Adam and epsilon=1e-06
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3208
1
355
0.3162
0.9461
0.0392
2
268
0.1177
0.9893
0.0326
3
267
0.2596
0.9899
0.0351
4
267
0.3398
0.9888
0.0272
5
266
0.2636
0.9912
Framework
Keras
Pytorch
TensorFlow
Datasets
