Fig. 4

Dataset usage for deep learning applications. (A) Schematic representation of the classification task applied to single image crops depicting dying cells (left) and to apoptotic-like sequences (right). Single image crops can be classified with the aid of convolutional networks, mapping an image to a corresponding binary value labelling healthy (0) or apoptotic-like (1) cells. Similarly, sequences images can be classified with activity recognition architectures. (B) Schematic depiction of a detection routine applied to full microscopy images containing healthy and dying cells. Input images are processed with a detector that predicts the spatial coordinates of apoptotic-like cells (red bounding boxes). (C) Schematic representation of the image segmentation task applied to full microscopy images depicting dying cells. Input microscopy images are processed with an auto encoder-decoder architecture which learns to map the input into a binary mask that highlights target cells only.