Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Pathology
246
Zitationen
7
Autoren
2018
Jahr
Abstract
As in other domains, artificial intelligence is becoming increasingly important in medicine. In particular,deep learning-based pattern recognition methods can advance the field of pathology byincorporating clinical, radiologic, and genomic data to accurately diagnose diseases and predictpatient prognoses. In this review, we present an overview of artificial intelligence, the brief historyof artificial intelligence in the medical domain, recent advances in artificial intelligence applied topathology, and future prospects of pathology driven by artificial intelligence.
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.