Open yann-rdgz opened 4 months ago
Dear Yann,
Yes, indeed, we resampled all the slides such that ~0.5um/px and ~2.0um/px become available, which are the mpps the algorithm requires for accurate predictions. Unfortunately , I haven't yet developed an on-the-fly resampling feature. However, I am actively working on this and hope to have it available shortly. In the interim, it is necessary to have these specific mpps available within the slides. I recommend using tools like pyvips or ASAP for converting to TIFF format, which ensures the slides are resampled and includes the required mpps. Please let me know if I can be of any assistance here.
Best wishes, Mart
Thank you for your precisions it helps a lot ! thank you for the support !
Hello ! I tried to predict on TCGA cohorts I have this warning :
Then algorithm won't work properly, using mpp ~0.25 instead of 0.5.
I tested the prediction on the same slide as provided in the example, but using the original .svs file from TCGA-LUSC :
TCGA-18-3406-01Z-00-DX1.tif
TCGA-18-3406-01Z-00-DX1.8D07F006-425C-4724-BBB3-5BA099401234.svs
Using original
.svs
slide, I got the error:So changed the backend:
asap
toopenslide
to be able to open the file and I get the warning about spacing above!I looked at the metadata of your
.tif
vs original one and they seem to have different downsampling factors wit level 0 with at a different mpp (spacing)TCGA-18-3406-01Z-00-DX1.tif
:TCGA-18-3406-01Z-00-DX1.8D07F006-425C-4724-BBB3-5BA099401234.svs
So my question was, to be able to predict did you transform all TCGA (BLCA, KIRC, LUSC) input
.svs
slides to have different downsampling factors inside.tif
to have mpp=0.5 available ?Thanks a lot for your help !! 🙏