Brain-tumor-segmentation
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Issam28
A deep learning based approach for brain tumor MRI segmentation.
Hi Issam： thanks for you code！when I training the network，model does not converge. I try to reduce the learning rate and increase batch size，but it is not working. New to...
Please someone could explain to me this? I'm new with programming and trying to implement this code in my project.
The smallest loss I got is 0.735. Is there something wrong with my data(Brats2018) or paramters, such as batchsize.
#load data from disk Y_labels=np.load("y_training.npy").astype(np.uint8) X_patches=np.load("x_training.npy").astype(np.float32) Y_labels_valid=np.load("y_valid.npy").astype(np.uint8) X_patches_valid=np.load("x_valid.npy").astype(np.float32)
Hello Issam, I have a problem when I execute the command: python3 extract_patches.py Result: Using TensorFlow backend. iteration [0] there is a problem here!!! the problem lies in this patient...
Hi, I would like you to help and fix my problem. I'm using python 3.7 with tensorflow 2.0 def dist_pair(self, pair_ixd): return tf.compat.v1.losses.absolute_difference(self.h[:, 2*pair_ixd, :], self.h[:, 2*pair_ixd+1, :]) TypeError: Only...
I get that error. I would like anyone to help me. def dist_pair(self, pair_ixd): with tf.compat.v1.variable_scope("WarpedSiameseRNNDistPair") as scope: # unless it is the first call, then reuse the variables of...
This problem remains. @Issam28 please have a look. Thank you. https://github.com/Issam28/Brain-tumor-segmentation/issues/9
Hi, I found the TypeError while run train.py. the detail is as follows: > Traceback (most recent call last): > File "train.py", line 108, in > brain_seg = Training(batch_size=4,nb_epoch=3,load_model_resume_training=model_to_load) >...
