A survey on active learning and human-in-the-loop deep learning for medical image analysis
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A survey on active learning and human-in-the-loop deep learning for medical image analysis
Authors
Keywords
Medical image analysis, Deep Learning, Human-in-the-Loop, Active learning
Journal
MEDICAL IMAGE ANALYSIS
Volume 71, Issue -, Pages 102062
Publisher
Elsevier BV
Online
2021-04-10
DOI
10.1016/j.media.2021.102062
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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 the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now