Zobrazeno 1 - 10
of 16 575
pro vyhledávání: '"Cell Segmentation"'
Autor:
Wang, Yuxing1,2 (AUTHOR), Zhao, Junhan3,4 (AUTHOR), Xu, Hongye1 (AUTHOR), Han, Cheng1 (AUTHOR), Tao, Zhiqiang1 (AUTHOR), Zhou, Dawei5 (AUTHOR), Geng, Tong6 (AUTHOR), Liu, Dongfang1 (AUTHOR) dxleec@rit.edu, Ji, Zhicheng2 (AUTHOR) dxleec@rit.edu
Publikováno v:
Briefings in Bioinformatics. Sep2024, Vol. 25 Issue 5, p1-11. 11p.
Recent trends in cell segmentation have shifted towards universal models to handle diverse cell morphologies and imaging modalities. However, for continuously emerging cell types and imaging techniques, these models still require hundreds or thousand
Externí odkaz:
http://arxiv.org/abs/2412.01410
Automated cell segmentation in microscopy images is essential for biomedical research, yet conventional methods are labor-intensive and prone to error. While deep learning-based approaches have proven effective, they often require large annotated dat
Externí odkaz:
http://arxiv.org/abs/2411.11515
Autor:
Vašinková, Markéta1 (AUTHOR) marketa.vasinkova@vsb.cz, Doleží, Vít1 (AUTHOR), Vašinek, Michal1 (AUTHOR), Gajdoš, Petr1 (AUTHOR), Kriegová, Eva2 (AUTHOR)
Publikováno v:
Bioinformatics & Biology Insights. 9/5/2024, p1-14. 14p.
Automated cell segmentation is crucial for various biological and medical applications, facilitating tasks like cell counting, morphology analysis, and drug discovery. However, manual segmentation is time-consuming and prone to subjectivity, necessit
Externí odkaz:
http://arxiv.org/abs/2409.08163
Autor:
Jiang, Jun, Moore, Raymond, Novotny, Brenna, Liu, Leo, Fogarty, Zachary, Guo, Ray, Svetomir, Markovic, Wang, Chen
Histopathological imaging is vital for cancer research and clinical practice, with multiplexed Immunofluorescence (MxIF) and Hematoxylin and Eosin (H&E) providing complementary insights. However, aligning different stains at the cell level remains a
Externí odkaz:
http://arxiv.org/abs/2410.00152
Autor:
Goldsborough, Thibaut, Philps, Ben, O'Callaghan, Alan, Inglis, Fiona, Leplat, Leo, Filby, Andrew, Bilen, Hakan, Bankhead, Peter
Cell and nucleus segmentation are fundamental tasks for quantitative bioimage analysis. Despite progress in recent years, biologists and other domain experts still require novel algorithms to handle increasingly large and complex real-world datasets.
Externí odkaz:
http://arxiv.org/abs/2408.15954
Autor:
Nan, Yang, Yang, Guang
Automated cell segmentation has become increasingly crucial for disease diagnosis and drug discovery, as manual delineation is excessively laborious and subjective. To address this issue with limited manual annotation, researchers have developed semi
Externí odkaz:
http://arxiv.org/abs/2406.01815
Publikováno v:
In Journal of Bone Oncology December 2024 49
Purpose: Quantitative phase imaging (QPI) is a label-free technique that provides high-contrast images of tissues and cells without the use of chemicals or dyes. Accurate semantic segmentation of cells in QPI is essential for various biomedical appli
Externí odkaz:
http://arxiv.org/abs/2405.06175