Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Diagnostic accuracy of deep learning in detection and prognostication of renal cell carcinoma: a systematic review and meta-analysis
3
Zitationen
7
Autoren
2024
Jahr
Abstract
The DNN showed excellent pooled diagnostic accuracy rates to classify RCC into subtypes and grade them for prognostic purposes. Further studies are required to establish generalizability and validate these findings on a larger scale.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 13.514 Zit.
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.137 Zit.
A survey on Image Data Augmentation for Deep Learning
2019 · 11.743 Zit.
QuPath: Open source software for digital pathology image analysis
2017 · 8.113 Zit.
Radiomics: Images Are More than Pictures, They Are Data
2015 · 7.988 Zit.