dlup-lightning-mil is an installable repo to easily train deep learning classifiers/regressors on gigapixel histopathology images using DLUP datasets or extracted features from HISSL
Dear Mr. J. Teuwen,
I have recently been reviewing your article titled "DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer." In this article, you mentioned the calculation of the tHRD score for the Breast cancer tissue dataset: TCGA-BC. I have a question regarding the specific tHRD score calculation, which is defined as follows: if HRD ≥ 13, tHRD = 1, and if HRD ≤ 30, tHRD = 0.
My question pertains to the situation when HRD falls within the range of 13 to 30. In this case, the HRD status is uncertain, and it could be either 0 or 1. Could you please provide a detailed explanation of how this particular classification method works and under what circumstances HRD is assigned the value of 0 or 1 in this range?
LiuJin629
commented
7 months ago
Dear Mr. J. Teuwen, I have recently been reviewing your article titled "DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer." In this article, you mentioned the calculation of the tHRD score for the Breast cancer tissue dataset: TCGA-BC. I have a question regarding the specific tHRD score calculation, which is defined as follows: if HRD ≥ 13, tHRD = 1, and if HRD ≤ 30, tHRD = 0.
My question pertains to the situation when HRD falls within the range of 13 to 30. In this case, the HRD status is uncertain, and it could be either 0 or 1. Could you please provide a detailed explanation of how this particular classification method works and under what circumstances HRD is assigned the value of 0 or 1 in this range?