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uci-cbcl / NoduleNet

[MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation
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What's the meaning of this result #17

Closed Amadeuszhao closed 4 years ago

Amadeuszhao commented 4 years ago

Thank you for sharing your code,I have already finished training and testing procedure and the FROC folder seems normal, However when I tried to visualize the result I counld't figure out the meaning of certain npy files such as 1.3.6.1.4.1.14519.5.2.1.6279.6001.994459772950022352718462251777.npy which was generated as the test procedure. The file was all zeros image and also where is the segmentaion result I can only find the csv file with columns [seriesuid,coordX,coordY,coorfZ,dizmeter_mm,probability] Thank you for reading this.

LXYTSOS commented 4 years ago

No such file or directory: 'LIDC/preprocessed_test/3/1.3.6.1.4.1.14519.5.2.1.6279.6001.100953483028192176989979435275_bboxes.npy'.

I checked my preprocess procedure and I found 1.3.6.1.4.1.14519.5.2.1.6279.6001.100953483028192176989979435275.npy in LIDC/annotation/mask_test but I didn't find a match in LIDC/masks_test/{1,2,3,4}.

Did you have the same problem?

LXYTSOS commented 4 years ago

how to visualize the result?