issues
search
cvlab-stonybrook
/
SAMPath
Repository for "SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology" (MedAGI2023, MICCAI2023 workshop)
28
stars
6
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
through the trained model to inference
#18
06Liz
opened
1 week ago
1
The metrics in the paper
#17
zhi-xuan-chen
closed
1 week ago
9
The difference between ignored_classes and ignored_classes_metric in the config file
#16
zhi-xuan-chen
closed
2 weeks ago
4
The correspondence between class id and class name
#15
zhi-xuan-chen
closed
2 weeks ago
9
The preprocess of the dataset
#14
zhi-xuan-chen
closed
3 weeks ago
4
The model setting in the paper
#13
zhi-xuan-chen
opened
1 month ago
5
The number of cases in the provided BCSS
#12
zhi-xuan-chen
closed
1 month ago
2
Can you provide your inference script? Thanks
#11
Qunfunction
closed
1 week ago
0
Does the BCSS.py configuration file match the predict.py ？
#10
NanCheng2001
closed
1 week ago
1
Some issues with the installation environment
#9
NanCheng2001
closed
6 months ago
2
Some problems about SAMPath
#8
NanCheng2001
closed
6 months ago
2
About pretrained model weights
#7
NaokiThread
closed
8 months ago
0
Question about the number of classes for the BCSS dataset.
#6
windygoo
closed
8 months ago
4
Any plan to release the checkpoint?
#5
windygoo
closed
9 months ago
5
Question about the loss.
#4
windygoo
closed
9 months ago
4
How the overlapping ratio in image cropping is determined for the BCSS dataset?
#3
windygoo
closed
9 months ago
7
Would you offer a pre-trained model?
#2
li-li-github
closed
10 months ago
4
How to inference the trained model?
#1
KeyaoZhao
closed
1 week ago
8