Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Enabling digital pathology in the diagnostic setting: navigating through the implementation journey in an academic medical centre
2016·77 Zitationen·Journal of Clinical Pathology
Volltext beim Verlag öffnen77
Zitationen
10
Autoren
2016
Jahr
Abstract
Smooth integration of DP into the diagnostic laboratory is possible with careful planning, discipline and a systematic approach adhering to our guiding principles.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 13.500 Zit.
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.129 Zit.
A survey on Image Data Augmentation for Deep Learning
2019 · 11.731 Zit.
QuPath: Open source software for digital pathology image analysis
2017 · 8.101 Zit.
Radiomics: Images Are More than Pictures, They Are Data
2015 · 7.981 Zit.
Autoren
Institutionen
Themen
AI in cancer detectionBiomedical and Engineering EducationArtificial Intelligence in Healthcare and Education