Open rohanbanerjee opened 9 months ago
Tagging @plbenveniste -- we applied the contrast-agnostic
model on canproco PSIR/STIR images (context here).
EDIT by naga: These GT for PSIR/STIR were also manually corrected -- hence they can be used to fine-tune the contrast-agnostic model on these additional contrasts.
Here, we discuss the re-training of the
contrast-agnostic
model using the entire data that was used originally and, in addition, the EPI data.Method: fine-tuning or training from scratch.
Data: all the data included so far on the
contrast-agnostic
model + the EPI data.Note: The EPI data need to have soft GT https://github.com/sct-pipeline/fmri-segmentation/issues/24
Location of the trained
contrast-agnostic
model checkpoint:duke/temp/muena/contrast-agnostic/final_monai_model/nnunet_nf=32_DS=1_opt=adam_lr=0.001_AdapW_CCrop_bs=2_64x192x320_20230918-2253
Currently the
main.py
script under themonai
folder in the repository does not have the functionality of loading the weights from checkpoint and loads the runs from thewands
run.I will keep updating this issue with further details.