Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
250
Zitationen
13
Autoren
2021
Jahr
Abstract
The use of saliency maps in the high-risk domain of medical imaging warrants additional scrutiny and recommend that detection or segmentation models be used if localization is the desired output of the network.<b>Keywords:</b> Technology Assessment, Technical Aspects, Feature Detection, Convolutional Neural Network (CNN) Supplemental material is available for this article. © RSNA, 2021.
Ähnliche Arbeiten
Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study
2020 · 22.607 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 · 14.251 Zit.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 · 8.477 Zit.
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 · 7.093 Zit.