7 citations · 9 across the 4 of their papers we have counts for
4 papers
Soft-Attention Improves Skin Cancer Classification Performance
Soumyya Kanti Datta, Seyed Mohammad Abuzar Hashemi, Sargur N. Srihari +1
In clinical applications, neural networks must focus on and highlight the most important parts of an input image. Soft-Attention mechanism enables a neural network toachieve this g…
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…
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
Chunwei Ma, Zhanghexuan Ji, Mingchen Gao
Three-dimensional medical image segmentation is one of the most important problems in medical image analysis and plays a key role in downstream diagnosis and treatment. Recent year…
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…