1 code implementation • 20 Feb 2024 • Wei Lou, Guanbin Li, Xiang Wan, Haofeng Li
Nuclei classification is a critical step in computer-aided diagnosis with histopathology images.
1 code implementation • 22 Oct 2023 • Wei Lou, Xinyi Yu, Chenyu Liu, Xiang Wan, Guanbin Li, SiQi Liu, Haofeng Li
Afterward, we train a separate segmentation model for each category using the images in the corresponding category.
1 code implementation • 22 Oct 2023 • Xinyi Yu, Guanbin Li, Wei Lou, SiQi Liu, Xiang Wan, Yan Chen, Haofeng Li
Therefore, augmenting a dataset with only a few labeled images to improve the segmentation performance is of significant research and application value.
no code implementations • 10 Aug 2023 • Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Vojislav Gligorovski, Maxime Scheder, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Trevor Cheung, Oscar Brück, Gary D. Bader, Bo wang
This benchmark and the improved algorithm offer promising avenues for more accurate and versatile cell analysis in microscopy imaging.
no code implementations • 22 Feb 2023 • Wei Lou, Xiang Wan, Guanbin Li, Xiaoying Lou, Chenghang Li, Feng Gao, Haofeng Li
Next, we convert a histopathology image into a graph structure with nuclei as nodes, and build a graph neural network to embed the spatial distribution of nuclei into their representations.
1 code implementation • 20 Dec 2022 • Wei Lou, Haofeng Li, Guanbin Li, Xiaoguang Han, Xiang Wan
Recently deep neural networks, which require a large amount of annotated samples, have been widely applied in nuclei instance segmentation of H\&E stained pathology images.
no code implementations • 10 Aug 2022 • Guangyuan Shen, Dehong Gao, Duanxiao Song, Libin Yang, Xukai Zhou, Shirui Pan, Wei Lou, Fang Zhou
We present a novel clustering-based client selection scheme to accelerate the FL convergence by variance reduction.
no code implementations • 15 Jan 2022 • Guangyuan Shen, Dehong Gao, Libin Yang, Fang Zhou, Duanxiao Song, Wei Lou, Shirui Pan
However, due to the large variance of the selected subset's update, prior selection approaches with a limited sampling ratio cannot perform well on convergence and accuracy in heterogeneous FL.
1 code implementation • 8 May 2021 • Wei Lou, Lei Xun, Amin Sabet, Jia Bi, Jonathon Hare, Geoff V. Merrett
However, the training process of such dynamic DNNs can be costly, since platform-aware models of different deployment scenarios must be retrained to become dynamic.