Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Digital Pathology: What Is the Future? Part 2: An Investigation on the Insiders
8
Zitationen
4
Autoren
2021
Jahr
Abstract
. Stakeholders must not look with suspicion towards AI, which can represent an important resource, but should invest in monitoring and consensus training initiatives based also on electronic surveys.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 14.067 Zit.
pROC: an open-source package for R and S+ to analyze and compare ROC curves
2011 · 13.841 Zit.
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.561 Zit.
A survey on Image Data Augmentation for Deep Learning
2019 · 12.191 Zit.
QuPath: Open source software for digital pathology image analysis
2017 · 8.468 Zit.