1 code implementation • 1 Nov 2023 • Xingru Huang, Yihao Guo, Jian Huang, Zhi Li, Tianyun Zhang, Kunyan Cai, Gaopeng Huang, WenHao Chen, Zhaoyang Xu, Liangqiong Qu, Ji Hu, Tinyu Wang, Shaowei Jiang, Chenggang Yan, Yaoqi Sun, Xin Ye, Yaqi Wang
Macular hole diagnosis and treatment rely heavily on spatial and quantitative data, yet the scarcity of such data has impeded the progress of deep learning techniques for effective segmentation and real-time 3D reconstruction.
1 code implementation • 26 Sep 2021 • Yibao Sun, Giussepi Lopez, Yaqi Wang, Xingru Huang, Huiyu Zhou, Qianni Zhang
Cancer segmentation in whole-slide images is a fundamental step for viable tumour burden estimation, which is of great value for cancer assessment.
1 code implementation • 2 Jul 2021 • Yibao Sun, Xingru Huang, Yaqi Wang, Huiyu Zhou, Qianni Zhang
Experimental results show that the SMSE improves the performance for histopathological image classification tasks for both breast and liver cancers by a large margin compared to previous methods.
1 code implementation • 25 Jun 2021 • Yibao Sun, Xingru Huang, Huiyu Zhou, Qianni Zhang
The embedding layer is added into the region proposal networks, enabling the networks to learn discriminative features based on similarity learning.
no code implementations • 13 Jan 2019 • Zhaoyang Xu, Xingru Huang, Carlos Fernández Moro, Béla Bozóky, Qianni Zhang
We proposed a conditional CycleGAN (cCGAN) network to transform the H\&E stained images into IHC stained images, facilitating virtual IHC staining on the same slide.