Brain Tumor Segmentation via Multi-Modalities Interactive Feature Learning

Automatic segmentation of brain tumors from multi-modalities magnetic resonance image data has the potential to enable preoperative planning and intraoperative volume measurement. Recent advances in deep convolutional neural network technology have opened up an opportunity to achieve end-to-end segm...

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Detalhes bibliográficos

Principais autores:	Bo Wang, Jingyi Yang, Hong Peng, Jingyang Ai, Lihua An, Bo Yang, Zheng You, Lin Ma
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2021-05-01
coleção:	Frontiers in Medicine
Assuntos:	brain tumor segmentation deep neural network multi-modality learning feature fusion attention mechanism
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmed.2021.653925/full
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