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Learning Euler's Elastica Model for Medical Image Segmentation
Image segmentation is a fundamental topic in image processing and has be...
11/01/2020 ∙ by Xu Chen, et al. ∙
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Semi-supervised Medical Image Segmentation through Dual-task Consistency
Deep learning-based semi-supervised learning (SSL) algorithms have led t...
09/09/2020 ∙ by Xiangde Luo, et al. ∙
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Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Ischemic stroke lesion segmentation from Computed Tomography Perfusion (...
07/07/2020 ∙ by Guotai Wang, et al. ∙
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Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation
The segmentation of coronary arteries in X-ray angiograms by convolution...
05/27/2020 ∙ by Jingyang Zhang, et al. ∙
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SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
Clinical research on smart healthcare has an increasing demand for intel...
04/03/2020 ∙ by Qi Duan, et al. ∙
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Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss
Automatic segmentation of vestibular schwannoma (VS) tumors from magneti...
06/10/2019 ∙ by Guotai Wang, et al. ∙
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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
11/05/2018 ∙ by Spyridon Bakas, et al. ∙
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Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation
Automatic brain tumor segmentation plays an important role for diagnosis...
10/18/2018 ∙ by Guotai Wang, et al. ∙
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Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Despite the state-of-the-art performance for medical image segmentation,...
07/19/2018 ∙ by Guotai Wang, et al. ∙
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Test-time augmentation with uncertainty estimation for deep learning-based medical image segmentation
Data augmentation has been widely used for training deep learning system...
07/19/2018 ∙ by Guotai Wang, et al. ∙
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Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
One of the fundamental challenges in supervised learning for multimodal ...
07/09/2018 ∙ by Yipeng Hu, et al. ∙
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Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Convolutional neural networks (CNNs) have achieved state-of-the-art perf...
10/11/2017 ∙ by Guotai Wang, et al. ∙
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NiftyNet: a deep-learning platform for medical imaging
Medical image analysis and computer-assisted intervention problems are i...
09/11/2017 ∙ by Eli Gibson, et al. ∙
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On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Deep convolutional neural networks are powerful tools for learning visua...
07/06/2017 ∙ by Wenqi Li, et al. ∙
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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Accurate medical image segmentation is essential for diagnosis, surgical...
07/03/2017 ∙ by Guotai Wang, et al. ∙
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