Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Applications of artificial intelligence in neuro-oncology
50
Zitationen
3
Autoren
2019
Jahr
Abstract
PURPOSE OF REVIEW: To discuss recent applications of artificial intelligence within the field of neuro-oncology and highlight emerging challenges in integrating artificial intelligence within clinical practice. RECENT FINDINGS: In the field of image analysis, artificial intelligence has shown promise in aiding clinicians with incorporating an increasing amount of data in genomics, detection, diagnosis, classification, risk stratification, prognosis, and treatment response. Artificial intelligence has also been applied in epigenetics, pathology, and natural language processing. SUMMARY: Although nascent, applications of artificial intelligence within neuro-oncology show significant promise. Artificial intelligence algorithms will likely improve our understanding of brain tumors and help drive future innovations in neuro-oncology.
Ähnliche Arbeiten
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
2018 · 6.491 Zit.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
2014 · 6.422 Zit.
A Comprehensive Survey on Graph Neural Networks
2021 · 3.310 Zit.
Brain tumor segmentation with Deep Neural Networks
2016 · 3.222 Zit.
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 · 2.643 Zit.