Comments (2)
I have found the closed issues to answer most of my questions regarding how to use GMIC. I didn't look at the snapshot, but what I can say in general is that the pre-processing steps are important, e.g., the cropping etc.
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hi @HongjianLi ,
Thanks for your interest in GMIC. The preprocessing steps you took on CBIS-DDSM seem reasonable. We applied a different preprocessing strategy for DDSM than the preprocessing provided in this repo. This paragraph describes our preprocessing steps for CBIS-DDSM dataset: "To preprocess mammography images in CBIS-DDSM, we first found the largest connected component containing only non-zero pixels to locate the breast. We then applied erosion and dilation to refine the breast margin. Lastly, we re-oriented all mammography images so that the breasts are always on the left side of the image." You can find more information about preprocessing in section 3.1 of our paper: https://www.sciencedirect.com/science/article/pii/S1361841520302723.
Regarding the predictions, we didn't apply GMIC with weights trained on the NYU dataset on the DDSM dataset. There are several contrasting differences between the images CBIS-DDSM dataset and modern FFDM images.
Hope this helps.
Best,
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Related Issues (20)
- Does this model need pixel-level segmentation masks of malignant and benign lesions? HOT 4
- Fine tuning HOT 2
- How to run the code with my own images? HOT 1
- RetrieveROIModule on left border and mask not updated for some images HOT 5
- Discrepancies between readme and example files HOT 1
- Training HOT 1
- ROI HOT 1
- GMIC- Segmentation HOT 2
- how to create exam for data list? HOT 4
- The reason set the classification as a 2 class multi-label problem HOT 1
- How to evaluate the model performance?
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- Potential issue in patch map display HOT 3
- How to run GMIC on CBIS-DDSM? HOT 1
- Any chance we could invite you guys to Kaggle comp? HOT 2
- Missing parameter? HOT 1
- train from scratch HOT 1
- Request for help regarding how to implement the article titled: GMIC HOT 1
- Request for help regarding how to implement the article titled: GMIC
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