cvlab-stonybrook/SAMPath
Repository for "SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology" (MedAGI2023, MICCAI2023 workshop)
Python
Issues
- 9
The metrics in the paper
#17 opened by zhi-xuan-chen - 1
- 8
How to inference the trained model?
#1 opened by KeyaoZhao - 0
Can you provide your inference script? Thanks
#11 opened by Qunfunction - 1
through the trained model to inference
#18 opened by 06Liz - 4
The difference between ignored_classes and ignored_classes_metric in the config file
#16 opened by zhi-xuan-chen - 9
- 4
The preprocess of the dataset
#14 opened by zhi-xuan-chen - 5
The model setting in the paper
#13 opened by zhi-xuan-chen - 2
The number of cases in the provided BCSS
#12 opened by zhi-xuan-chen - 2
- 2
Some problems about SAMPath
#8 opened by NanCheng2001 - 0
About pretrained model weights
#7 opened by NaokiThread - 4
- 5
Any plan to release the checkpoint?
#5 opened by windygoo - 4
Question about the loss.
#4 opened by windygoo - 7
How the overlapping ratio in image cropping is determined for the BCSS dataset?
#3 opened by windygoo - 4
Would you offer a pre-trained model?
#2 opened by li-li-github