Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
On the Validity of Public MRI Datasets for Neuro-Oncological Abnormality Detection and Classification: A Forensic Audit
2025·1 ZitationenOpen Access
Volltext beim Verlag öffnen1
Zitationen
2
Autoren
2025
Jahr
Abstract
The quality of training datasets is a critical factor for the reliability of machine learning models. This is particularly crucial for high-stakes applications such as brain tumor diagnosis, where data flaws can result in harmful clinical decisions. I
Ähnliche Arbeiten
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
2017 · 21.083 Zit.
Generative Adversarial Nets
2023 · 19.896 Zit.
Visualizing and Understanding Convolutional Networks
2014 · 15.389 Zit.
"Why Should I Trust You?"
2016 · 14.830 Zit.
Generative adversarial networks
2020 · 13.394 Zit.
Autoren
Institutionen
Themen
Explainable Artificial Intelligence (XAI)Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education