Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Implementation of Epic Beaker Anatomic Pathology at an Academic Medical Center
14
Zitationen
13
Autoren
2017
Jahr
Abstract
The Beaker AP LIS can be successfully implemented at an academic medical center but requires significant forethought, creative adaptation, and continued shared management of the ongoing product by institutional and departmental information technology staff as well as laboratory managers to meet the needs of the laboratory.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 13.911 Zit.
pROC: an open-source package for R and S+ to analyze and compare ROC curves
2011 · 13.762 Zit.
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.458 Zit.
A survey on Image Data Augmentation for Deep Learning
2019 · 12.052 Zit.
QuPath: Open source software for digital pathology image analysis
2017 · 8.387 Zit.