vnet.pytorch
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mattmacy
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
loading training set Traceback (most recent call last): File "train.py", line 387, in main() File "train.py", line 220, in main class_balance=class_balance, split=target_split, seed=args.seed, masks=masks) File "/home/xinyu/vnet.pytorch-master/torchbiomed/datasets/luna16.py", line 360, in __init__...
Hi, thanks for the great work! I see that you use some folders normalized_brightened_CT_2_5, inferred_seg_lungs_2_5, luna16_ct_normalized. And as far as i understand this folders stored some preprocessed files from original...
As described in #01, the Concatenation operation in InputTransition has not been fix. Note that this could cause confusion in training, as the data should be of size() [Batchsize, Channel,...
hi there, we ran the program, and successfully train a model. but when we deeply take a look into the program, we found the program ran loss.backward which used the...
Hi: once we have divided data into training and validation set. Is it possible we can enable cross validation internally? thanks ams
Hi @mattmacy , Is there a readme file where a step by step procedure for running the Vnet on the Luna 16 available? Would be very grateful if you could...
In the architecture defined by the code is different than the architecture posed in the webpage: Why is this different? Which one works better? Thank you! class UpTransition(nn.Module): def __init__(self,...
DataParallel should be used only with GPUs. If a user disabled Cuda in order to run the model on CPU, an error will show up.
I trained my dataset on 32 by 32 by 16 patch size. now i dont know how to segment my new volume. which code i should follow?
I looked in torchbiomed and here, but can not find answer, what particular `transform` methods are used? Is it rotating, cropping, shifting? Also, you are resizing Luna dataset to meet...
