Automatic Detection of Brain Metastases in T1-Weighted Construct-Enhanced MRI Using Deep Learning Model

SIMPLE SUMMARY: In this research, we introduced an improved deep learning model for automatic brain metastases detection in MRI. In order to reduce false-positive results while retaining high accuracy, a modified YOLOv5 algorithm with self-attention mechanism is proposed. Our proposed deep learning...

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Detalles Bibliográficos
Autores principales: Zhou, Zichun, Qiu, Qingtao, Liu, Huiling, Ge, Xuanchu, Li, Tengxiang, Xing, Ligang, Yang, Runtao, Yin, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526374/
https://www.ncbi.nlm.nih.gov/pubmed/37760413
http://dx.doi.org/10.3390/cancers15184443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526374/
https://www.ncbi.nlm.nih.gov/pubmed/37760413
http://dx.doi.org/10.3390/cancers15184443

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