10 citations · 26 across the 7 of their papers we have counts for
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eess.IV2019
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation
Zhanghexuan Ji, Yan Shen, Chunwei Ma +1
The recent state-of-the-art deep learning methods have significantly improved brain tumor segmentation. However, fully supervised training requires a large amount of manually label…
cs.CV2019
Brain Tumor Segmentation on MRI with Missing Modalities
Yan Shen, Mingchen Gao
Brain Tumor Segmentation from magnetic resonance imaging (MRI) is a critical technique for early diagnosis. However, rather than having complete four modalities as in BraTS dataset…