Cargando…
An Active Learning Approach for Rapid Characterization of Endothelial Cells in Human Tumors
Currently, no available pathological or molecular measures of tumor angiogenesis predict response to antiangiogenic therapies used in clinical practice. Recognizing that tumor endothelial cells (EC) and EC activation and survival signaling are the direct targets of these therapies, we sought to deve...
Autores principales: | Padmanabhan, Raghav K., Somasundar, Vinay H., Griffith, Sandra D., Zhu, Jianliang, Samoyedny, Drew, Tan, Kay See, Hu, Jiahao, Liao, Xuejun, Carin, Lawrence, Yoon, Sam S., Flaherty, Keith T., DiPaola, Robert S., Heitjan, Daniel F., Lal, Priti, Feldman, Michael D., Roysam, Badrinath, Lee, William M. F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3946171/ https://www.ncbi.nlm.nih.gov/pubmed/24603893 http://dx.doi.org/10.1371/journal.pone.0090495 |
Ejemplares similares
-
Large-scale automated image analysis for computational profiling of brain tissue surrounding implanted neuroprosthetic devices using Python
por: Rey-Villamizar, Nicolas, et al.
Publicado: (2014) -
Automated image computing reshapes computational neuroscience
por: Peng, Hanchuan, et al.
Publicado: (2013) -
NetMets: software for quantifying and visualizing errors in biological network segmentation
por: Mayerich, David, et al.
Publicado: (2012) -
Single cell metrics of the efficacy of CAR T cells
por: Romain, Gabrielle, et al.
Publicado: (2015) -
Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks
por: Wu, Kwan-Ling, et al.
Publicado: (2023)