CLAM¶
CLAM is a high-throughput and interpretable method for data efficient whole slide image (WSI) classification using slide-level labels without any ROI extraction or patch-level annotations, and is capable of handling multi-class subtyping problems.
CLAM is available as a module which wraps an Apptainer container on Apocrita.
Usage¶
To run the default installed version of CLAM, simply load the
clam module:
$ module load clam
$ clam my_code.py
[python output]
Example job¶
Serial job¶
Here is an example job running on 1 core and 1GB of memory, using the built-in Python3 interpreter:
#!/bin/bash
#$ -cwd
#$ -j y
#$ -pe smp 1
#$ -l h_vmem=1G
#$ -l h_rt=1:0:0
module load clam
clam my_code.py