标题
Loss odyssey in medical image segmentation
作者
关键词
Segmentation, Loss function, Convolutional neural networks, Benchmark
出版物
MEDICAL IMAGE ANALYSIS
Volume 71, Issue -, Pages 102035
出版商
Elsevier BV
发表日期
2021-03-20
DOI
10.1016/j.media.2021.102035
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Boundary loss for highly unbalanced segmentation
- (2020) Hoel Kervadec et al. MEDICAL IMAGE ANALYSIS
- The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
- (2020) Nicholas Heller et al. MEDICAL IMAGE ANALYSIS
- nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
- (2020) Fabian Isensee et al. NATURE METHODS
- Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions
- (2020) Hyunseok Seo et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Attention gated networks: Learning to leverage salient regions in medical images
- (2019) Jo Schlemper et al. MEDICAL IMAGE ANALYSIS
- Combo loss: Handling input and output imbalance in multi-organ segmentation
- (2019) Saeid Asgari Taghanaki et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks
- (2019) Davood Karimi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Removing segmentation inconsistencies with semi-supervised non-adjacency constraint
- (2019) Pierre-Antoine Ganaye et al. MEDICAL IMAGE ANALYSIS
- Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
- (2019) Xiahai Zhuang et al. MEDICAL IMAGE ANALYSIS
- MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
- (2019) Nabil Ibtehaz et al. NEURAL NETWORKS
- Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks
- (2018) Eli Gibson et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
- (2018) Xiaomeng Li et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?
- (2018) Olivier Bernard et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy
- (2018) Wentao Zhu et al. MEDICAL PHYSICS
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
- (2015) Bjoern H. Menze et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started