afiliot commited on
Commit
25eee4a
·
verified ·
1 Parent(s): ffb64e9

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -43,7 +43,7 @@ There were 3,417 aligned image groups, with a total of 310,947 (3,417 groups 
43
  >
44
  > • All tiles from the original WSI were extracted, resulting in 16,278 tiles for each of the 91 WSIs stored in WSI-level `.h5` files.
45
  >
46
- > **In total, our dataset encompasses 1,481,298 histology tiles for a total size of 150 Gb.**
47
 
48
 
49
  # How to extract features
@@ -55,7 +55,7 @@ There were 3,417 aligned image groups, with a total of 310,947 (3,417 groups 
55
  > Tile coordinates are in the same order for each slide inside the dataset. No additional sorting is required to compare feature matrices between different slides (first element of each matrix corresponds to the same tile location).
56
  >
57
 
58
- XXXX and roughly 10 Gb storage are necessary to download and extract all features with a ViT-B model, 16 CPUs and 1 Nvidia T4 (16Go).
59
 
60
 
61
  # License
 
43
  >
44
  > • All tiles from the original WSI were extracted, resulting in 16,278 tiles for each of the 91 WSIs stored in WSI-level `.h5` files.
45
  >
46
+ > **In total, our dataset encompasses 1,481,298 histology tiles for a total size of 225 Gb.**
47
 
48
 
49
  # How to extract features
 
55
  > Tile coordinates are in the same order for each slide inside the dataset. No additional sorting is required to compare feature matrices between different slides (first element of each matrix corresponds to the same tile location).
56
  >
57
 
58
+ 225 Go are required to store WSI-level `.h5` files, download approximately takes 10 minutes (32 workers). Then, ~10 Gb storage and 1 hour are necessary to extract all features with a ViT-B model, 16 CPUs and 1 Nvidia T4 (16Go).
59
 
60
 
61
  # License