Hao Tang

Thanks for your interest! The fastest way is to write your own dataset in PyTorch. If you take a look at dataset/brain_reader.py, you may follow its return types. The brain_reader...

I am sorry that we did not provide such a script. But there are ways for doing that. One easy way is to set those arguments (truth_boxes, masks) to None....

The input is the 3D CT scan. PyTorch expects a 5-dimensional input for volumetric data. So your input should be [batch_size, channel, depth, height, width]. You need to add one...

@valbertoenoc 1. We use 1080ti with 12GB as minimum requirement. The alternative is to generate input patches with fixed size (e.g. 128*128*12) using sliding window. 2. You may need to...

Thanks for your interest. We are working on that, but might take longer than expected.

Can you please provide your 3_annotation.csv? 3_annotation_excluded.csv includes findings that did not meet the criteria that agreed by at least three annotators. These findings may/may not be nodules. According to...

@filipetrocadoferreira nice work! I am really interested in lobe segmentation using deep learning but seems cannot find the paper either. May I ask you whether you can send me your...