Louis Blankemeier

@DrKrabs , thanks for trying C2C and your feedback. Are you passing in a single DICOM file? spine_muscle_adipose_tissue and liver_spleen_pancreas are 3D methods so require DICOM series. Let me know...

Hi @Meddebma, Thanks so much for the feedback! The current muscle and adipose tissue model was trained only at L3. Because of this, performance degrades as you move away from...

Unfortunately, there's no way to correct the segmentations manually at this point. Others have also requested this so we can start to think about ways to do this.

Hi @Meddebma , We included the 5 slices as we hypothesized that analyzing these measures at each of these levels will be more powerful for downstream tasks than just using...

Sounds good to me. Let's leave the issue open and I will update once we've updated the model. Would be interested in adding MRI as well. If you have a...

Btw, @ad12 suggested that we output dicoms that would enable manual correction in a software like ITK-Snap or Horos. Will do this so you can correct the outputs manually.

Hi @Meddebma, Very sorry for the extremely long delay. Things were held up for several reasons, but we have finally integrated a new muscle + adipose tissue model into the...

Hi @Meddebma, Did you get the code running on google colab? I haven't tried this so curious if it worked for you. Thank you!

Also, we have a function that supports nifti inputs here https://github.com/StanfordMIMI/Comp2Comp/blob/master/comp2comp/io/io_utils.py#L31 but have not yet tested this extensively as a part of the pipelines. We will at this to our...

I'm glad it worked for you on colab, that's really good to know!!