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Oct 17, 2022 · To this end, we propose a self-supervised learning based approach with a Prior. Self-activation Module (PSM) that generates self-activation maps ...
Oct 14, 2022 · To this end, we propose a self-supervised learning based approach with a Prior Self-activation Module (PSM) that generates self-activation maps ...
A self-supervised learning based approach with a Prior Self-activation Module (PSM) that generates self-activation maps from the input images to avoid ...
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To this end, we propose a self-supervised learning based approach with a Prior Self-activation Module (PSM) that generates self-activation maps from the input ...
Unsupervised dense nuclei detection and segmentation with prior self-activation map for histology images. P Chen, C Zhu, Z Shui, J Cai, S Zheng, S Zhang, L Yang.
Oct 5, 2023 · We evaluated our method on two histological datasets: MoNuSeg (cell segmentation) and BCData (multi-class cell detection). Compared with other ...
To this end, we propose a self-supervised learning based approach with a Prior Self-activation Module (PSM) that generates self-activation maps from the input ...
To this end, we propose a self-supervised learning based approach with a Prior Self-activation Module (PSM) that generates self-activation maps from the input ...