Fully Automated Segmentation Models of Supratentorial Meningiomas Assisted by Inclusion of Normal Brain Images

Fully Automated Segmentation Models of Supratentorial Meningiomas Assisted by Inclusion of Normal Brain Images

To train an automatic brain tumor segmentation model, a large amount of data is required. In this paper, we proposed a strategy to overcome the limited amount of clinically collected magnetic resonance image (MRI) data regarding meningiomas by pre-training a model using a larger public dataset of MR...

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Bibliographic Details
Main Authors: Kihwan Hwang, Juntae Park, Young-Jae Kwon, Se Jin Cho, Byung Se Choi, Jiwon Kim, Eunchong Kim, Jongha Jang, Kwang-Sung Ahn, Sangsoo Kim, Chae-Yong Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Journal of Imaging
Subjects:
meningioma
magnetic resonance imaging
deep learning
U-net
Online Access:https://www.mdpi.com/2313-433X/8/12/327

Internet

https://www.mdpi.com/2313-433X/8/12/327

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