A survey on active learning and human-in-the-loop deep learning for medical image analysis
出版年份 2021 全文链接
标题
A survey on active learning and human-in-the-loop deep learning for medical image analysis
作者
关键词
Medical image analysis, Deep Learning, Human-in-the-Loop, Active learning
出版物
MEDICAL IMAGE ANALYSIS
Volume 71, Issue -, Pages 102062
出版商
Elsevier BV
发表日期
2021-04-10
DOI
10.1016/j.media.2021.102062
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。- Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
- (2020) Nima Tajbakhsh et al. MEDICAL IMAGE ANALYSIS
- Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages
- (2020) Yongsheng Pan et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A scoping review of transfer learning research on medical image analysis using ImageNet
- (2020) Mohammad Amin Morid et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
- (2019) Veronika Cheplygina et al. MEDICAL IMAGE ANALYSIS
- Geometry in active learning for binary and multi-class image segmentation
- (2019) Ksenia Konyushkova et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
- (2019) Mohammad Hesam Hesamian et al. JOURNAL OF DIGITAL IMAGING
- Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
- (2019) J. N. Stember et al. JOURNAL OF DIGITAL IMAGING
- Attention gated networks: Learning to leverage salient regions in medical images
- (2019) Jo Schlemper et al. MEDICAL IMAGE ANALYSIS
- Continual lifelong learning with neural networks: A review
- (2019) German I. Parisi et al. NEURAL NETWORKS
- Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
- (2019) Guotai Wang et al. NEUROCOMPUTING
- Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis
- (2019) Biting Yu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction
- (2019) Kaisar Kushibar et al. Scientific Reports
- Generative adversarial network in medical imaging: A review
- (2019) Xin Yi et al. MEDICAL IMAGE ANALYSIS
- Editorial
- (2018) V J Mar et al. ANNALS OF ONCOLOGY
- Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
- (2018) H A Haenssle et al. ANNALS OF ONCOLOGY
- Multi-Label Learning from Crowds
- (2018) Shao-Yuan Li et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
- (2018) Guotai Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
- (2018) Guotai Wang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Landmark-based deep multi-instance learning for brain disease diagnosis
- (2018) Mingxia Liu et al. MEDICAL IMAGE ANALYSIS
- 3D conditional generative adversarial networks for high-quality PET image estimation at low dose
- (2018) Yan Wang et al. NEUROIMAGE
- Deep learning enables cross-modality super-resolution in fluorescence microscopy
- (2018) Hongda Wang et al. NATURE METHODS
- An overview of deep learning in medical imaging focusing on MRI
- (2018) Alexander Selvikvåg Lundervold et al. Zeitschrift fur Medizinische Physik
- Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI
- (2018) Chunfeng Lian et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Cost-Effective Active Learning for Deep Image Classification
- (2017) Keze Wang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
- (2017) Martin Rajchl et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Space–time wiring specificity supports direction selectivity in the retina
- (2014) Jinseop S. Kim et al. NATURE
- A theory of learning from different domains
- (2009) Shai Ben-David et al. MACHINE LEARNING
- The Automation of Science
- (2009) Ross D. King et al. SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now