openmedlab/MedLSAM
MedLSAM: Localize and Segment Anything Model for 3D Medical Images
PythonApache-2.0
Issues
- 1
about 2d image
#18 opened by AndyCA111 - 1
Pretraining checkpoint
#17 opened by s1054020 - 1
CT abdomen image segmentation is not good
#7 opened by jianjun0407 - 0
Inferece problem
#16 opened by lingling-7-7 - 14
请问validation loss多少说明效果好
#15 opened by 111678900 - 1
- 2
Segment without ground truth labels
#12 opened by nifla2000 - 1
Using own dataset
#13 opened by s1054020 - 3
Value Error at inference
#9 opened by ManuBN786 - 13
Questions about training the model
#2 opened by SillenceHu - 1
Problem of missing classes
#11 opened by YichiZhang98 - 0
Could you please share your version of numpy?
#10 opened by WesleyWu42 - 1
- 1
Based on MedLAM's test config running inference, it takes more than 40 minutes to run on kaggle. What's wrong?
#6 opened by jumbojing - 3
I don't need to do any prompt words, you can get the desired segmentation mask, your code can achieve this function.I don't need to do any prompt words, you can get the desired segmentation mask, your code can achieve this function.
#5 opened by BelieferQAQ - 4
- 1
- 1
Suggestion - Integrate MobileSAM into the pipeline for lightweight and faster inference
#1 opened by mdimtiazh