Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Deep learning for tubes and lines detection in critical illness: Generalizability and comparison with residents
3
Zitationen
3
Autoren
2024
Jahr
Abstract
The externally trained model exhibited limited generalizability on the local ICU dataset. Therefore, evaluating the performance of externally trained AI before integrating it into critical care routine is crucial. Rule-based algorithm may be used in combination with DL to improve results.
Ähnliche Arbeiten
Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study
2020 · 22.618 Zit.
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
2020 · 19.271 Zit.
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
2024 · 14.265 Zit.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 · 8.571 Zit.
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 · 7.187 Zit.