ACN: adversarial co-training network for brain tumor segmentation with missing modalities

Y Wang, Y Zhang, Y Liu, Z Lin, J Tian, C Zhong… - … Image Computing and …, 2021 - Springer
Accurate segmentation of brain tumors from magnetic resonance imaging (MRI) is clinically
relevant in diagnoses, prognoses and surgery treatment, which requires multiple modalities …
被引用次数：59 相关文章

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Y Wang, Y Zhang, Y Liu, Z Lin, J Tian, C Zhong… - arXiv preprint arXiv …, 2021 - arxiv.org
Accurate segmentation of brain tumors from magnetic resonance imaging (MRI) is clinically
relevant in diagnoses, prognoses and surgery treatment, which requires multiple modalities …

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Y Wang, Y Zhang, Y Liu, Z Lin, J Tian, C Zhong… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Accurate segmentation of brain tumors from magnetic resonance imaging (MRI) is clinically
relevant in diagnoses, prognoses and surgery treatment, which requires multiple modalities …

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Y Wang, Y Zhang, Y Liu, Z Lin, J Tian, C Zhong… - … Conference on Medical …, 2021 - dl.acm.org
Accurate segmentation of brain tumors from magnetic resonance imaging (MRI) is clinically
relevant in diagnoses, prognoses and surgery treatment, which requires multiple modalities …
[PDF] researchgate.net

[PDF][PDF] ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Y Wang, Y Zhang, Y Liu, Z Lin, J Tian… - arXiv preprint arXiv …, 2021 - researchgate.net
Accurate segmentation of brain tumors from magnetic resonance imaging (MRI) is clinically
relevant in diagnoses, prognoses and surgery treatment, which requires multiple modalities …