Performance of deep learning algorithms to distinguish high-grade glioma from low-grade glioma: A systematic review and meta-analysis

This study aims to evaluate deep learning (DL) performance in differentiating low- and high-grade glioma. Search online database for studies continuously published from 1st January 2015 until 16th August 2022. The random-effects model was used for synthesis, based on pooled sensitivity (SE), specifi...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Wanyi, Song, Cheng, Tang, Chao, Pan, Chenghao, Xue, Peng, Fan, Jinhu, Qiao, Youlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209541/
https://www.ncbi.nlm.nih.gov/pubmed/37250800
http://dx.doi.org/10.1016/j.isci.2023.106815

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209541/
https://www.ncbi.nlm.nih.gov/pubmed/37250800
http://dx.doi.org/10.1016/j.isci.2023.106815

Ejemplares similares