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nyukat
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GMIC
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
https://doi.org/10.1016/j.media.2020.101908
GNU Affero General Public License v3.0
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Mammogram scaling from 12- to 16-bit
#34
AriBunnell
opened
4 weeks ago
0
Request for help regarding how to implement the article titled: GMIC
#33
Mohsen59313
opened
5 months ago
0
Request for help regarding how to implement the article titled: GMIC
#32
Mohsen59313
closed
5 months ago
1
Update example_notebook.ipynb
#31
ChrisBtt
closed
8 months ago
0
train from scratch
#30
jessicachen01
opened
1 year ago
1
Missing parameter?
#29
DrJohnCa
closed
1 year ago
1
Any chance we could invite you guys to Kaggle comp?
#28
blazespinnaker
closed
1 year ago
2
Add missing model parameters for the notebook exmaple
#27
KiLJ4EdeN
closed
1 year ago
1
How to interpret GMIC's prediction result on CBIS-DDSM ?
#26
HongjianLi
closed
1 year ago
2
How to run GMIC on CBIS-DDSM?
#25
HongjianLi
closed
1 year ago
1
ensure max_idx_x is an integer
#24
erasromani
closed
1 year ago
0
Potential issue in patch map display
#23
taijizhao
closed
2 years ago
3
Tool for running the code
#22
zeeno95
closed
2 years ago
2
How to evaluate the model performance?
#21
emma-sjwang
closed
3 years ago
0
The reason set the classification as a 2 class multi-label problem
#20
emma-sjwang
closed
3 years ago
1
how to create exam for data list?
#19
emma-sjwang
closed
3 years ago
4
GMIC- Segmentation
#18
Andy-git-2021
closed
3 years ago
2
ROI
#17
cyh-0
closed
3 years ago
1
Training
#16
cyh-0
closed
3 years ago
1
Discrepancies between readme and example files
#15
joaco18
closed
3 years ago
1
assert torch 1.1.0
#14
jamesjjcondon
closed
3 years ago
1
RetrieveROIModule on left border and mask not updated for some images
#13
jamesjjcondon
closed
3 years ago
5
How to run the code with my own images?
#12
viniciosgnr
closed
3 years ago
1
Fine tuning
#11
Steve-Pan
closed
3 years ago
2
Does this model need pixel-level segmentation masks of malignant and benign lesions?
#10
Steve-Pan
closed
3 years ago
4
Hello, I would like to test your model in my dataset. However, I don't know how you performed the pre-processing of the images (i.e image cropping to 2944 x 1920). I have thought of reshaping the images to that size. However, this could yield to underestimate the performance of the model. Can you tell me how to reproduce the image cropping in your model?
#9
africanogerson
closed
3 years ago
1
SystemExit: 2
#8
SaiXilinx
closed
4 years ago
1
Potential issue with dataloading flips
#7
meetps
closed
4 years ago
3
without segmentation path
#6
ankitdata
closed
4 years ago
1
modules.py error
#5
ankitdata
closed
4 years ago
3
Fine Tunning
#4
joaco18
closed
4 years ago
1
segmentation images
#3
ankitdata
closed
4 years ago
1
Batch Size
#2
joaco18
closed
4 years ago
1
Review
#1
kudkudak
closed
4 years ago
2