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1 Ergebnisse
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Computational pathology definitions, best practices, and re..:
Abels, Esther
;
Pantanowitz, Liron
;
Aeffner, Famke
...
Journal of Pathology, 0022-3417, 2019, 249:3, s. 286-294. , 2019
Link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16059
RT Journal T1
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
UL https://suche.suub.uni-bremen.de/peid=base-ftlinkoepinguniv:oai:DiVA.org:liu-160596&Exemplar=1&LAN=DE A1 Abels, Esther A1 Pantanowitz, Liron A1 Aeffner, Famke A1 Zarella, Mark D A1 van der Laak, Jeroen A1 Bui, Marilyn M A1 Vemuri, Venkata N. P A1 Parwani, Anil V A1 Gibbs, Jeff A1 Agosto-Arroyo, Emmanuel A1 Beck, Andrew H A1 Kozlowski, Cleopatra PB Linköpings universitet, Avdelningen för radiologiska vetenskaper; Linköpings universitet, Medicinska fakulteten; Region Östergötland, Klinisk patologi; Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV; PathAI, MA USA; Univ Pittsburgh, PA USA; Amgen Inc, CA USA; Drexel Univ, PA 19104 USA; Radboud Univ Nijmegen, Netherlands; H Lee Moffitt Canc Ctr and Res Inst, FL USA; Chan Zuckerberg Biohub, CA USA; Ohio State Univ, OH 43210 USA; Hyman Phelps and McNamara PC, DC USA; Genentech Inc, CA 94080 USA; WILEY YR 2019 K1 artificial intelligence K1 computational pathology K1 convolutional neural networks K1 digital pathology K1 deep learning K1 image analysis K1 machine learning K1 Computer Vision and Robotics (Autonomous Systems) K1 Datorseende och robotik (autonoma system) JF Journal of Pathology, 0022-3417, 2019, 249:3, s. 286-294 LK http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160596 DO http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160596 SF ELIB - SuUB Bremen
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