Zobrazeno 1 - 10
of 1 206
pro vyhledávání: '"B Sheridan"'
Autor:
J. A. Deodatus, M. A. Kratz, M. Steller, N. Veeger, B. Dercksen, R. M. Lyon, M. Rehn, L. Rognås, C. Coniglio, B. Sheridan, C. Tschautscher, D. J. Lockey, E. ter Avest
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 32, Iss 1, Pp 1-9 (2024)
Abstract Backgrounds Team leadership skills of physicians working in high-performing medical teams are directly related to outcome. It is currently unclear how these skills can best be developed. Therefore, in this multi-national cross-sectional pros
Externí odkaz:
https://doaj.org/article/c1733b2cf7b747c886fe5d263fbf156a
Publikováno v:
EBioMedicine, Vol 99, Iss , Pp 104908- (2024)
Summary: Background: Deep learning has revolutionized digital pathology, allowing automatic analysis of hematoxylin and eosin (H&E) stained whole slide images (WSIs) for diverse tasks. WSIs are broken into smaller images called tiles, and a neural ne
Externí odkaz:
https://doaj.org/article/9f2037ddf6ee48899c4355a7191d993c
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Convolutional neural networks (CNNs) are revolutionizing digital pathology by enabling machine learning-based classification of a variety of phenotypes from hematoxylin and eosin (H&E) whole slide images (WSIs), but the interpretation of CNN
Externí odkaz:
https://doaj.org/article/04a03c26e0c54a459e756f99feec7e44
Publikováno v:
Atmospheric Measurement Techniques, Vol 13, Pp 4699-4713 (2020)
A weather station built using 3D-printed parts and low-cost sensors, based on plans and guidance provided by the University Corporation for Atmospheric Research 3D-Printed Automatic Weather Station Initiative, was deployed alongside an Oklahoma Meson
Externí odkaz:
https://doaj.org/article/1cee1f6bb2fb4476b0a655b2f8746aa3
Autor:
Wilbert Tabone, Joost de Winter, Claudia Ackermann, Jonas Bärgman, Martin Baumann, Shuchisnigdha Deb, Colleen Emmenegger, Azra Habibovic, Marjan Hagenzieker, P.A. Hancock, Riender Happee, Josef Krems, John D. Lee, Marieke Martens, Natasha Merat, Don Norman, Thomas B. Sheridan, Neville A. Stanton
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 9, Iss , Pp 100293- (2021)
Automated driving research over the past decades has mostly focused on highway environments. Recent technological developments have drawn researchers and manufacturers to look ahead at introducing automated driving in cities. The current position pap
Externí odkaz:
https://doaj.org/article/958184dce79547fdb1f8fab2986ccc29
Autor:
Jill C. Rubinstein, Ali Foroughi Pour, Jie Zhou, Todd B. Sheridan, Brian S. White, Jeffrey H. Chuang
Publikováno v:
Journal of Surgical Oncology. 127:426-433
Deep learning utilizing convolutional neural networks (CNNs) applied to hematoxylineosin (HE)-stained slides numerically encodes histomorphological tumor features. Tumor heterogeneity is an emerging biomarker in colon cancer that is, captured by thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59d62ae9acd20250d09d224f6aeb11d6
https://doi.org/10.1002/jso.27118
https://doi.org/10.1002/jso.27118
Autor:
Thomas B. Sheridan
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Computer-based automation of sensing, analysis, memory, decision-making, and control in industrial, business, medical, scientific, and military applications is becoming increasingly sophisticated, employing various techniques of artificial intelligen
Externí odkaz:
https://doaj.org/article/8014206f30fa4c4bb0c00ae814c90620
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