Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Digital Imagery/Telecytology
54
Zitationen
17
Autoren
1998
Jahr
Abstract
Digital imagery applications will continue to present new opportunities and challenges. Position papers such as this are directed toward assisting the profession to stay informed and in control of these applications in the laboratory. Telecytology is an area in particular need of studies of good quality to provide data on factors affecting accuracy. New technologic approaches to addressing the issue of selective sampling in static image consultation are needed. The use of artificial intelligence software as an adjunct to enhance the accuracy and reproducibility of cytologic diagnosis of digital images in routine and consultation settings deserves to be pursued. Other telecytology-related issues that require clarification and the adoption of workable guidelines include interstate licensure and protocols to define malpractice liability.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 13.845 Zit.
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.415 Zit.
A survey on Image Data Augmentation for Deep Learning
2019 · 11.999 Zit.
QuPath: Open source software for digital pathology image analysis
2017 · 8.346 Zit.
Radiomics: Images Are More than Pictures, They Are Data
2015 · 8.111 Zit.