Zobrazeno 1 - 10
of 1 187
pro vyhledávání: '"Lou Wei"'
Nuclei classification is a critical step in computer-aided diagnosis with histopathology images. In the past, various methods have employed graph neural networks (GNN) to analyze cell graphs that model inter-cell relationships by considering nuclei a
Externí odkaz:
http://arxiv.org/abs/2402.12946
Cell segmentation for multi-modal microscopy images remains a challenge due to the complex textures, patterns, and cell shapes in these images. To tackle the problem, we first develop an automatic cell classification pipeline to label the microscopy
Externí odkaz:
http://arxiv.org/abs/2310.14226
Nuclei segmentation is a fundamental but challenging task in the quantitative analysis of histopathology images. Although fully-supervised deep learning-based methods have made significant progress, a large number of labeled images are required to ac
Externí odkaz:
http://arxiv.org/abs/2310.14197
Autor:
Ma, Jun, Xie, Ronald, Ayyadhury, Shamini, Ge, Cheng, Gupta, Anubha, Gupta, Ritu, Gu, Song, Zhang, Yao, Lee, Gihun, Kim, Joonkee, Lou, Wei, Li, Haofeng, Upschulte, Eric, Dickscheid, Timo, de Almeida, José Guilherme, Wang, Yixin, Han, Lin, Yang, Xin, Labagnara, Marco, Gligorovski, Vojislav, Scheder, Maxime, Rahi, Sahand Jamal, Kempster, Carly, Pollitt, Alice, Espinosa, Leon, Mignot, Tâm, Middeke, Jan Moritz, Eckardt, Jan-Niklas, Li, Wangkai, Li, Zhaoyang, Cai, Xiaochen, Bai, Bizhe, Greenwald, Noah F., Van Valen, David, Weisbart, Erin, Cimini, Beth A., Cheung, Trevor, Brück, Oscar, Bader, Gary D., Wang, Bo
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify hyper-parameters in different exp
Externí odkaz:
http://arxiv.org/abs/2308.05864
Autor:
Jing-Xiao Li, Wei-Qi Zhang, Chao-Hai Lv, Jian-Lin Wen, Chun-Lou Wei, Jing Qian, Xiao-Chun Zeng, Liu-Liu Huang, Bao-Shi Zheng, Hua-Fu Zhou, Ting Zhou
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Uterine Fibroids (UFs) are common benign tumors in the female reproductive tract, but their progression to intravascular leiomyomatosis (IVL) is rare. Presently, there are few reports on single-stage resection of UFs and IVL. Case
Externí odkaz:
https://doaj.org/article/8e4b67a9368e4503b3691f50b40791d1
Nuclei classification provides valuable information for histopathology image analysis. However, the large variations in the appearance of different nuclei types cause difficulties in identifying nuclei. Most neural network based methods are affected
Externí odkaz:
http://arxiv.org/abs/2302.11416
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. However, it is inefficient and unnecessary to label all pixels for a dataset
Externí odkaz:
http://arxiv.org/abs/2212.10305
Autor:
Shen, Guangyuan, Gao, Dehong, Song, Duanxiao, Yang, Libin, Zhou, Xukai, Pan, Shirui, Lou, Wei, Zhou, Fang
Client selection schemes are widely adopted to handle the communication-efficient problems in recent studies of Federated Learning (FL). However, the large variance of the model updates aggregated from the randomly-selected unrepresentative subsets d
Externí odkaz:
http://arxiv.org/abs/2208.05135
Autor:
Qi, Wenhao, Lou, Wei, Sheng, Anxu, Xu, Wenjie, Luo, Yongqiang, Wu, Haibin, Yin, Hao, Chen, Jing, Wu, Xiaohui, Wang, Linling
Publikováno v:
In Science of the Total Environment 20 December 2024 957
Publikováno v:
In Journal of Water Process Engineering December 2024 68