no code implementations • 8 Apr 2021 • Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li
Blood vessel segmentation is crucial for many diagnostic and research applications.
no code implementations • 29 Dec 2020 • Mo Zhang, Quanzheng Li
It is crucial to take multi-scale information of tissue structure into account in the detection of breast cancer.
1 code implementation • 4 Nov 2019 • Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang
The experimental results show that the PGU-net+ has superior accuracy than the previous state-of-the-art methods on cervical nuclei segmentation.
no code implementations • 7 Oct 2019 • Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li
As the six networks are trained with image patches consisting of both individual cells and touching/overlapping cells, they can effectively recognize cell types that are presented in multi-instance image samples.
no code implementations • 7 Jul 2019 • Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li
Such pixel-level dilation rates produce optimal receptive fields so that the information of objects with different sizes can be extracted at the corresponding scale.
no code implementations • 31 May 2018 • Yu Zhao, Xiang Li, Wei zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
Simultaneous modeling of the spatio-temporal variation patterns of brain functional network from 4D fMRI data has been an important yet challenging problem for the field of cognitive neuroscience and medical image analysis.
no code implementations • 23 Oct 2017 • Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li
Reliable cell segmentation and classification from biomedical images is a crucial step for both scientific research and clinical practice.