Zobrazeno 1 - 10
of 1 655
pro vyhledávání: '"Yeaton, A."'
Forest mapping provides critical observational data needed to understand the dynamics of forest environments. Notably, tree diameter at breast height (DBH) is a metric used to estimate forest biomass and carbon dioxide sequestration. Manual methods o
Externí odkaz:
http://arxiv.org/abs/2410.07418
Publikováno v:
The Turkish Journal of Gastroenterology, Vol 35, Iss 8, Pp 599-608 (2024)
Upper gastrointestinal bleeding (UGIB) is a major cause of morbidity and mortality. Clinical symptoms that patients may present with include: hematemesis, coffee-ground emesis, melena, and hematochezia. Clinical signs can range from tachycardia to sh
Externí odkaz:
https://doaj.org/article/d0e7299806274bd39c347ba21e524a6f
Extending the Reach of the Common Cause Design Using Meta-Analytic Methods: Applications and Issues.
Autor:
Thompson, Christopher G.1 (AUTHOR) cgthompson@tamu.edu, Yeaton, William H.2 (AUTHOR), Velasquez, Gertrudes2 (AUTHOR), Petrova, Kitchka2 (AUTHOR), Becker, Betsy J.2 (AUTHOR)
Publikováno v:
Methodology: European Journal of Research Methods for the Behavioral & Social Sciences. Dec2024, Vol. 20 Issue 4, p238-264. 27p.
Autor:
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Xinyu Yang, Bojing Liu, Hortense Le, Luis Chiriboga, Afreen Karimkhan, Navneet Narula, David A. Moore, Christopher Y. Park, Harvey Pass, Andre L. Moreira, John Le Quesne, Aristotelis Tsirigos, Ke Yuan
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-24 (2024)
Abstract Cancer diagnosis and management depend upon the extraction of complex information from microscopy images by pathologists, which requires time-consuming expert interpretation prone to human bias. Supervised deep learning approaches have prove
Externí odkaz:
https://doaj.org/article/24019f1068da441492cffc896558e017
Autor:
Li Li, Jeffrey S Stein, Vivian Zagarese, John W Epling, Michelle S Rockwell, Jamie K Turner, Brianna Chang, Ally Southworth, YingXing Wu, Paul Yeaton, Sarah H Parker
Publikováno v:
Family Medicine and Community Health, Vol 12, Iss Suppl 2 (2024)
Externí odkaz:
https://doaj.org/article/889610c76408434da62bfc955974269e
Autor:
Quiros, Adalberto Claudio, Coudray, Nicolas, Yeaton, Anna, Yang, Xinyu, Liu, Bojing, Le, Hortense, Chiriboga, Luis, Karimkhan, Afreen, Narula, Navneet, Moore, David A., Park, Christopher Y., Pass, Harvey, Moreira, Andre L., Quesne, John Le, Tsirigos, Aristotelis, Yuan, Ke
Definitive cancer diagnosis and management depend upon the extraction of information from microscopy images by pathologists. These images contain complex information requiring time-consuming expert human interpretation that is prone to human bias. Su
Externí odkaz:
http://arxiv.org/abs/2205.01931
Scarcity of labeled histopathology data limits the applicability of deep learning methods to under-profiled cancer types and labels. Transfer learning allows researchers to overcome the limitations of small datasets by pre-training machine learning m
Externí odkaz:
http://arxiv.org/abs/2204.08324
Autor:
William Yeaton
Publikováno v:
Journal of Methods and Measurement in the Social Sciences, Vol 15, Iss 1 (2024)
Ideas are the primary currency of academic success. They can be elaborated upon to yield publications and grants, and high-quality ideas can result in tenure. Unfortunately, mechanisms for producing high quality ideas are underexplored, and ways of g
Externí odkaz:
https://doaj.org/article/ec2dfa3165424f829f538ef1a6c3ebec
Autor:
Quiros, Adalberto Claudio, Coudray, Nicolas, Yeaton, Anna, Sunhem, Wisuwat, Murray-Smith, Roderick, Tsirigos, Aristotelis, Yuan, Ke
Deep learning based analysis of histopathology images shows promise in advancing the understanding of tumor progression, tumor micro-environment, and their underpinning biological processes. So far, these approaches have focused on extracting informa
Externí odkaz:
http://arxiv.org/abs/2108.02223
Autor:
Igor Dolgalev, Hua Zhou, Nina Murrell, Hortense Le, Theodore Sakellaropoulos, Nicolas Coudray, Kelsey Zhu, Varshini Vasudevaraja, Anna Yeaton, Chandra Goparaju, Yonghua Li, Imran Sulaiman, Jun-Chieh J. Tsay, Peter Meyn, Hussein Mohamed, Iris Sydney, Tomoe Shiomi, Sitharam Ramaswami, Navneet Narula, Ruth Kulicke, Fred P. Davis, Nicolas Stransky, Gromoslaw A. Smolen, Wei-Yi Cheng, James Cai, Salman Punekar, Vamsidhar Velcheti, Daniel H. Sterman, J. T. Poirier, Ben Neel, Kwok-Kin Wong, Luis Chiriboga, Adriana Heguy, Thales Papagiannakopoulos, Bettina Nadorp, Matija Snuderl, Leopoldo N. Segal, Andre L. Moreira, Harvey I. Pass, Aristotelis Tsirigos
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Approximately 30% of early-stage lung adenocarcinoma patients present with disease progression after successful surgical resection. Despite efforts of mapping the genetic landscape, there has been limited success in discovering predictive bi
Externí odkaz:
https://doaj.org/article/326ae301e3024de2b6652801e0ebede8