FIG 5.

NephNet3D performance on noisy and lower resolution images. Increasing amounts of noise or decreasing resolution was used to generate testing datasets of 3D nuclei from the NephNuc3D with context data and classified with NephNet3D. A nearest neighbor approach was used for reducing the resolution of the image and noise was added by incorporating an α-factor described in the methods. A. Example of augmentation of training data with increasing noise or decreasing resolution for one nucleus. B. NephNet3D performance on testing data augmented by adding noise (left) or reducing the number of pixels to simulate less resolution (right)