Comments (3)
Hmm. Hi cannot say directly.. I have used model_luna16_full__fs_best.hd5 later and it works ok.
Not that the smallest changes can give big problems..
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Hello, julian, thank you very much for the night gave me a reply, now I have put this experiment, but have been thinking, hope can do it, it is a great job, do you remember this model evaluating the sensitivity, perhaps can also, I reviewed methods of Luna16 evaluation standard of the game. Later, I selected some nodules with relatively large diameter on subset0 to evaluate, and the sensitivity result could reach about 80%. So I guess whether the detection effect is not good for nodules with small diameter? Just my guess, of course. I only used this model for the test, removed the model of unet segmentation of lung mass and other models,and directly used your model to test and evaluate on Luna 16, without retraining, which will have an impact on the results?Thank you again for your replyγ
from kaggle_ndsb2017.
@fulingly I don't konw if you sovled this problem. I also directly use this model to test and evaluate on luna16 without segmentation of lung mass and other models. thanks for your reply
from kaggle_ndsb2017.
Related Issues (20)
- settings.MANUAL_ANNOTATIONS_LABELS_DIR and pos_labels_dir = settings.LUNA_NODULE_LABELS_DIR HOT 2
- Accuracy calculation HOT 3
- why do you select "sigmoid" and "None" rather than "Relu" or "LeakyReLU" in last layer of CNN? HOT 3
- Getting confused about where to keep the dataset HOT 10
- Cam we get the CT viewer? HOT 7
- Kaggle dataset not available. Can we skip the ndsb dataset? HOT 3
- Where is NDSB data ? HOT 1
- One question about helpers.py HOT 2
- Testing Data HOT 1
- directory missing HOT 1
- about the step2_train_noudle_detector HOT 1
- Can I get the ensemble model? HOT 1
- Train model takes too many hours, how to optimize it. HOT 1
- test data HOT 1
- some questions about the evaluation of the malignancy of the nodules HOT 1
- the transformation of nodule coordinate HOT 2
- Some question about the label preprocess HOT 1
- imformation about malignancy HOT 1
- error with the code
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