Fig. 2From: Explainable convolutional neural networks for assessing head and neck cancer histopathologySummary of our data pre-processing pipeline. Each pre-therapeutic WSI was manually annotated. Next, we extracted square tiles from the anntoated tumor (red) and non-tumor (green) regions. Based on the annotations, the ground truth masks for semantic segmentation and the class labels for classification were createdBack to article page