Zobrazeno 1 - 10
of 870
pro vyhledávání: '"Lou Wei"'
Publikováno v:
Yankuang ceshi, Vol 41, Iss 4, Pp 564-574 (2022)
BACKGROUND Gypsum-salt formation affects the oxygen fugacity of ore-forming fluid and changes the fluid composition, and then affects the trace element composition, which plays an important indicator role in the formation of iron ore deposits. Theref
Externí odkaz:
https://doaj.org/article/1afdff3b45da43b0b0f46b0731116df9
Publikováno v:
Rock and Soil Mechanics, Vol 43, Iss 2, Pp 528-538 (2022)
With the rapid development of global industrialization, the pollution of hexavalent chromium (Cr(Ⅵ)) in soil and groundwater has become increasingly serious. Field investigation and laboratory tests were carried out for the soil polluted by the chr
Externí odkaz:
https://doaj.org/article/aff2683236b94f35b11c5662b3869d7b
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
PurposeBased on the Chinese version of the Catquest-9SF scale, the contrast sensitivity meter and wavefront aberrometer were used to evaluate the visual quality of cataract patients implanted with different spherical aberrations IOL.DesignRetrospecti
Externí odkaz:
https://doaj.org/article/cc8f302a06dd41fea959bbd370c67698
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
Publikováno v:
Cailiao gongcheng, Vol 45, Iss 5, Pp 31-37 (2017)
B10 Cu-Ni alloy has good corrosion resistance against seawater. Natural seawater from Xiamen, was used to study the seawater corrosion behaviour of B10 Cu-Ni alloy, H2O2 was added as corrosion accelerator. The whole seawater immersion corrosion simul
Externí odkaz:
https://doaj.org/article/4f5d7c3d8f7e49ae95c127f578be3cb7
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
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