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Fig. 5 | Diagnostic Pathology

Fig. 5

From: Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Fig. 5

ColorAE, U-Net, and ensemble predictions. All panels show predictions from the same cell class from the same input image. Top panel: A-C. ColorAE and U-Net predictions are shown for a single cell class are shown individually and overlaid. Bottom panel, ensemble methods: D. Union includes predictions from both ColorAE (red) and U-NET (blue): any overlapping predictions (detected by both algorithms) are merged into a single mask (purple). E. Intersection includes the pixels detected by both algorithms, while excluding any areas of the mask detected by only one algorithm. F. UnionanchorAE includes all masks detected by ColorAE and U-Net masks that intersect a ColorAE mask (union) while excluding U-Net masks that do not intersect a ColorAE mask (only detected by U-Net). G. UnionanchorUNet includes all masks detected by U-Net and ColorAE masks that intersect a U-Net mask (union) while excluding ColorAE masks that do not intersect a U-Net mask (only detected by ColorAE)

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