A survey of crowdsourcing in medical image analysis
Rapid advances in image processing capabilities have been seen across many domains,
fostered by the application of machine learning algorithms to" big-data". However, within the …
fostered by the application of machine learning algorithms to" big-data". However, within the …
Labelling instructions matter in biomedical image analysis
Biomedical image analysis algorithm validation depends on high-quality annotation of
reference datasets, for which labelling instructions are key. Despite their importance, their …
reference datasets, for which labelling instructions are key. Despite their importance, their …
A survey of crowdsourcing in medical image analysis
Rapid advances in image processing capabilities have been seen across many domains,
fostered by the application of machine learning algorithms to" big-data". However, within the …
fostered by the application of machine learning algorithms to" big-data". However, within the …
[图书][B] Academic crowdsourcing in the humanities: Crowds, communities and co-production
Academic Crowdsourcing in the Humanities lays the foundations for a theoretical framework
to understand the value of crowdsourcing, an avenue that is increasingly becoming …
to understand the value of crowdsourcing, an avenue that is increasingly becoming …
Crowdsourcing labels for pathological patterns in CT lung scans: can non-experts contribute expert-quality ground truth?
AQ O'Neil, JT Murchison, EJR van Beek… - … Imaging and Computer …, 2017 - Springer
This paper investigates what quality of ground truth might be obtained when crowdsourcing
specialist medical imaging ground truth from non-experts. Following basic tuition, 34 …
specialist medical imaging ground truth from non-experts. Following basic tuition, 34 …
SwifTree: Interactive extraction of 3D trees supporting gaming and crowdsourcing
M Huang, G Hamarneh - … Imaging and Computer Assisted Stenting, and …, 2017 - Springer
Abstract Analysis of vascular and airway trees of circulatory and respiratory systems is
important for many clinical applications. Automatic segmentation of these tree-like structures …
important for many clinical applications. Automatic segmentation of these tree-like structures …
Fine-tuning deep learning by crowd participation
S Albarqouni - IEEE pulse, 2018 - ieeexplore.ieee.org
One of the major challenges currently facing researchers in applying deep learning (DL)
models to medical image analysis is the limited amount of annotated data. Collecting such …
models to medical image analysis is the limited amount of annotated data. Collecting such …
A Survey of Crowdsourcing in Medical Image Analysis
Rapid advances in image processing capabilities have been seen across many domains,
fostered by the application of machine learning algorithms to" big-data". However, within the …
fostered by the application of machine learning algorithms to" big-data". However, within the …
Interactive extraction of 3D trees from medical images supporting gaming and crowdsourcing
M Huang - 2017 - summit.sfu.ca
Analysis of vascular and airway trees of circulatory and respiratory systems is important for a
wide range of clinical applications. Automatic segmentation of these tree-like structures from …
wide range of clinical applications. Automatic segmentation of these tree-like structures from …