Brain-tumor-segmentation-using-deep-learning
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#BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras
Hi, may I ask if I can use the weights for kidney tumour segmentation, which are based on CT images?
Hello I need data to train the U-net model for Tumor core and ET thank you
`#history = model.fit(x, y, batch_size=16, validation_split=0,validation_data = (val_x,val_y) ,epochs = 40,callbacks = callbacks_list ,verbose=1, shuffle=True)` I have the dataset with me, i'm trying to train the model but can't get...
Dear sir I want to cite this, How to ?
This is not a problem. Just a question. your work is great! It inspired me to modify to suit my problem. How to cite your work ? Thanks.
First, thank you for your sharing! But When I used your weights-full-best.h5, I got a problem as : ValueError: You are trying to load a weight file containing 41 layers...
On loading ET/ core weight file, I am getting these errors: > OSError: Unable to open file (truncated file: eof = 74436151, sblock->base_addr = 0, stored_eof = 257557808) > >...
merge([UpSampling2D(size=(2, 2))(conv5), conv4], mode='concat', concat_axis=1) when I Run the above line....it gave me the following error...Kindly reply as fast as possible " Traceback (most recent call last): File "C:\Program Files\JetBrains\PyCharm...
Sir Really, you have done wonderful work. But there is not available the file weights-full-best .h5. how to overcome this.