Zobrazeno 1 - 10
of 1 045
pro vyhledávání: '"Eliceiri Kevin"'
Autor:
Selzer, Gabriel J., Rueden, Curtis T., Hiner, Mark C., Evans III, Edward L., Kolb, David, Wiedenmann, Marcel, Birkhold, Christian, Buchholz, Tim-Oliver, Helfrich, Stefan, Northan, Brian, Walter, Alison, Schindelin, Johannes, Pietzsch, Tobias, Saalfeld, Stephan, Berthold, Michael R., Eliceiri, Kevin W.
Many scientific software platforms provide plugin mechanisms that simplify the integration, deployment, and execution of externally developed functionality. One of the most widely used platforms in the imaging space is Fiji, a popular open-source app
Externí odkaz:
http://arxiv.org/abs/2405.12385
Autor:
Bialy, Nikki, Alber, Frank, Andrews, Brenda, Angelo, Michael, Beliveau, Brian, Bintu, Lacramioara, Boettiger, Alistair, Boehm, Ulrike, Brown, Claire M., Maina, Mahmoud Bukar, Chambers, James J., Cimini, Beth A., Eliceiri, Kevin, Errington, Rachel, Faklaris, Orestis, Gaudreault, Nathalie, Germain, Ronald N., Goscinski, Wojtek, Grunwald, David, Halter, Michael, Hanein, Dorit, Hickey, John W., Lacoste, Judith, Laude, Alex, Lundberg, Emma, Ma, Jian, Malacrida, Leonel, Moore, Josh, Nelson, Glyn, Neumann, Elizabeth Kathleen, Nitschke, Roland, Onami, Shuichi, Pimentel, Jaime A., Plant, Anne L., Radtke, Andrea J., Sabata, Bikash, Schapiro, Denis, Schöneberg, Johannes, Spraggins, Jeffrey M., Sudar, Damir, Vierdag, Wouter-Michiel Adrien Maria, Volkmann, Niels, Wählby, Carolina, Siyuan, Wang, Yaniv, Ziv, Strambio-De-Castillia, Caterina
Together with the molecular knowledge of genes and proteins, biological images promise to significantly enhance the scientific understanding of complex cellular systems and to advance predictive and personalized therapeutic products for human health.
Externí odkaz:
http://arxiv.org/abs/2401.13022
Autor:
Weisbart, Erin, Tromans-Coia, Callum, Diaz-Rohrer, Barbara, Stirling, David R, Garcia-Fossa, Fernanda, Senft, Rebecca A, Hiner, Mark C, de Jesus, Marcelo B, Eliceiri, Kevin W, Cimini, Beth A
Publikováno v:
J Mic (2023)
CellProfiler is a widely used software for creating reproducible, reusable image analysis workflows without needing to code. In addition to the >90 modules that make up the main CellProfiler program, CellProfiler has a plugins system that allows for
Externí odkaz:
http://arxiv.org/abs/2306.01915
Autor:
Schmied, Christopher, Nelson, Michael, Avilov, Sergiy, Bakker, Gert-Jan, Bertocchi, Cristina, Bischof, Johanna, Boehm, Ulrike, Brocher, Jan, Carvalho, Mariana, Chiritescu, Catalin, Christopher, Jana, Cimini, Beth, Conde-Sousa, Eduardo, Ebner, Michael, Ecker, Rupert, Eliceiri, Kevin, Fernandez-Rodriguez, Julia, Gaudreault, Nathalie, Gelman, Laurent, Grunwald, David, Gu, Tingting, Halidi, Nadia, Hammer, Mathias, Hartley, Matthew, Held, Marie, Jug, Florian, Kapoor, Varun, Koksoy, Ayse Aslihan, Lacoste, Judith, Dévédec, Sylvia Le, Guyader, Sylvie Le, Liu, Penghuan, Martins, Gabriel, Mathur, Aastha, Miura, Kota, Llopis, Paula Montero, Nitschke, Roland, North, Alison, Parslow, Adam, Payne-Dwyer, Alex, Plantard, Laure, Rizwan, Ali, Schroth-Diez, Britta, Schütz, Lucas, Scott, Ryan T., Seitz, Arne, Selchow, Olaf, Sharma, Ved, Spitaler, Martin, Srinivasan, Sathya, De Castillia, Caterina Strambio, Taatjes, Douglas, Tischer, Christian, Jambor, Helena Klara
Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. However for scientists wishing to publish the obtained images and image
Externí odkaz:
http://arxiv.org/abs/2302.07005
Autor:
Mancha, Sophie, Horan, Meghan, Pasachhe, Ojaswi, Keikhosravi, Adib, Eliceiri, Kevin W., Matkowskyj, Kristina A., Notbohm, Jacob, Skala, Melissa C., Campagnola, Paul J.
Publikováno v:
In Acta Biomaterialia 1 October 2024 187:212-226
We address the challenging problem of whole slide image (WSI) classification. WSIs have very high resolutions and usually lack localized annotations. WSI classification can be cast as a multiple instance learning (MIL) problem when only slide-level l
Externí odkaz:
http://arxiv.org/abs/2011.08939
Autor:
Li, Bin, Eliceiri, Kevin W.
Multi-instance learning (MIL) is a form of weakly supervised learning where a single class label is assigned to a bag of instances while the instance-level labels are not available. Training classifiers to accurately determine the bag label and insta
Externí odkaz:
http://arxiv.org/abs/2006.05538
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