Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Deep learning in oral cancer- a systematic review
63
Zitationen
2
Autoren
2024
Jahr
Abstract
The number of DL studies in oral cancer is increasing, with a diverse type of architectures. The reported accuracy showed promising DL performance in studies of oral cancer and appeared to have potential utility in improving informed clinical decision-making of oral cancer.
Ähnliche Arbeiten
The European Organization for Research and Treatment of Cancer QLQ-C30: A Quality-of-Life Instrument for Use in International Clinical Trials in Oncology
1993 · 15.789 Zit.
Human Papillomavirus and Survival of Patients with Oropharyngeal Cancer
2010 · 6.460 Zit.
Radiotherapy plus Cetuximab for Squamous-Cell Carcinoma of the Head and Neck
2006 · 5.087 Zit.
Nivolumab for Recurrent Squamous-Cell Carcinoma of the Head and Neck
2016 · 4.996 Zit.
Head and neck squamous cell carcinoma
2020 · 3.924 Zit.