Hard-Boundary Attention Network for Nuclei Instance Segmentation

Cheng, Yalu; Qiao, Pengchong; He, Hailin; Song, Guoli; Chen, Jie

doi:10.1145/3469877.3490602

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2024

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“…Another work in nuclei segmentation is the hard-boundary attention network (HBANet), which identifies hard-boundaries between nuclei, a difficult problem due to overlapped nuclei. 559 It presents a background weaken module (BWM) to improve the model’s attention to the foreground, and integrates low-level features containing more detailed information into deeper feature layers. Furthermore, a gradient-based boundary adaptive strategy (GS) is designed to generate boundary-weakened data as extra inputs and train the model in an adversarial manner.…”

Section: Appendixmentioning

confidence: 99%