Additional file 10 of Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images
posted on 2021-06-16, 03:57authored byChristopher A. Mela, Yang Liu
Additional file 10: Figure S9. Tiling method example with and without overlap. When the test image is divided into non-overlapping squares, or tiles, for segmentation, the borders between tiles will act as artificial borders between labeled detected instances upon image reconstruction, creating divided predictions (upper diagram). Overlapping allows for a post-segmentation program to sample the overlapping region in adjacent tiles and merge overlapping instances during reconstruction (lower diagram).