76 citations · 211 across the 21 of their papers we have counts for
Showing 2023 · eess.IVShow all
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eess.IV2023★ 1 cited
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement
Linhao Qu, Minghong Duan, Zhiwei Yang +2
Existing super-resolution models for pathology images can only work in fixed integer magnifications and have limited performance. Though implicit neural network-based methods have…
eess.IV2023★ 9 cited
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Xiaoyu Liu, Linhao Qu, Ziyue Xie +3
Accurate segmentation of multiple organs of the head, neck, chest, and abdomen from medical images is an essential step in computer-aided diagnosis, surgical navigation, and radiat…
eess.IV2023★ 13 cited
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li, Haoran Wang, Yucong Meng +2
Precise delineation of multiple organs or abnormal regions in the human body from medical images plays an essential role in computer-aided diagnosis, surgical simulation, image-gui…