ymli39

hi @zhijiew I tried to use the same network backbone and pre-trained the network on COCO, but when I start to finetune, I tried learning rate of 0.001, 0.0005, 0.0001...

hi @zhijiew , I used same data setting code as provided (train set + trainaug), batchsize of 24, input size and crop size of 513. I did not do any...

thanks! @zhijiew , for trainaug, do I save model for every epoch or I just save the best model on validation (I found that if I save the best model,...

@Barry-Zhou @Alex6D Sorry about late response, I stopped working this project half year ago. I do not have any other operations. I also tried the coco pretrain model, there is...

I think something wrong with your nodule evaluation code. As you can see from your reported results, the true positive is 98, number of nodules is 105, so the sensitivity...

Have you tested the results on my provided csv? One possible reason could be the indexing mismatch between the predicted script and the evaluation script, I am not sure whether...

Hi I renamed all files starts from 0 to 888. You might want to check if the label name matches the renamed labels.

Hi all, I updated the evaluation code if you want to check it out. The major issue is label mismatch between the predicted and ground truth. For example id 56...

Hi @sajidalirander, LIDC continas a subset of CT scans with slice thickness>=5mm and CT scans from LUNA dataset, I remember I excluded those LUNA scans from LIDC task. That's probably...

Sorry about taking some time to get back to you. I remember LIDC has the xml file online, it shows the location (x,y,z,d) of the nodule per scan. I extracted...