Before revision:  Results are replicated for 4 classification tasks in digital pathology on 3  datasets, for a total of 373 subjects, and 543 total slides (around 27,000 tiles ). Impact of applying transfer learning strategies with models pre-trained on general-purpose or digital pathology datasets is also discussed .
After revision:  Results are replicated for 4 classification tasks in digital pathology on 3 datasets, for a total of 373 subjects, and 543 total slides (around 27,000 tiles . Also, we discuss the effects of data leakage on transfer learning strategies with models pre-trained on general-purpose or digital pathology datasets is also discussed .