guyucowboy

Hi, julian, How do you extract overlays from images for the U-net mass detector? "resources\segmenter_traindata\ *_o.png". how to generate those files? Thank you!

OK, thanks! -:)

Hi, julian. I think you mean that some cubes are not need to be predicted when cube mask moves far away from lungs . After doing that, I have an...

Does p[1] contain the mask of the nodule?

@tjliupeng, I see the function get_net in step2_train_nodule_detector.py. I think you are right. The code "diameter_mm = round(p[1][i][0], 4)" in step3_predict_nodules.py. Do you know why p[1] is used to calculate...

@tjliupeng do you try the upper left corner or lower left corner as the axis Coordinate origin?

and image spacing, etc.

@tjliupeng OK. Thank you for your reply!

Hi, julian. How do you know or discover or decide to discard the "diameter_perc "feature (or other feature ) of nodule detection ? Do you use some feature selection algorithm?

Hi, juliandewit Thanks for your reply. I have another question to ask you. I record the history of training model like this: import json hist = model.fit_generator(train_gen, len(train_files) / batch_size,...