Brain SegNet: 3D local refinement network for brain lesion segmentation

Brain SegNet: 3D local refinement network for brain lesion segmentation

Abstract MR images (MRIs) accurate segmentation of brain lesions is important for improving cancer diagnosis, surgical planning, and prediction of outcome. However, manual and accurate segmentation of brain lesions from 3D MRIs is highly expensive, time-consuming, and prone to user biases. We presen...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Xiaojun Hu, Weijian Luo, Jiliang Hu, Sheng Guo, Weilin Huang, Matthew R. Scott, Roland Wiest, Michael Dahlweid, Mauricio Reyes
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: BMC 2020-02-01
Seri Bilgileri:BMC Medical Imaging
Konular:
Brain tumor segmentation
Stroke outcome prediction
3D brain MRIs
Curriculum learning
Online Erişim:https://doi.org/10.1186/s12880-020-0409-2

Internet

https://doi.org/10.1186/s12880-020-0409-2

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