Closed XiaoXueShengwangrui closed 1 year ago
Yes, there is. This dataset contains two subtypes of tumors. 0 is tumor type 0 (LUAD), and 1 is tumor type 1 (LUSC). They are both tumors. Please check the readme -> Feature vector csv files explanation -> 3.Labels.
For binary classifier, use
1
for positive bags and0
for negative bags. Use--num_classes=1
at training.
For multi-class classifier (N
positive classes and one optional negative class), use0~(N-1)
for positive classes. If you have a negative class (not belonging to any one of the positive classes), useN
for its label. Use--num_classes=N
(N
equals the number of positive classes) at training.
Ok, got it, thank u very much !
Example img in your Repo
In this image has shown the line 3 about slide of case TCGA-64-5778-01Z , which label is 0 (negative bag= normal case). However, in the GDC data portal, the sample type has shown is Primary Tumor .
So, is there any mistake I understand? Look forward to your reply!