Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based…
Springer International Publishing
Chapter title |
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference
|
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Chapter number | 3 |
Book title |
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32689-0_3 |
Book ISBNs |
978-3-03-032688-3, 978-3-03-032689-0
|
Authors |
Raghav Mehta, Thomas Christinck, Tanya Nair, Paul Lemaitre, Douglas Arnold, Tal Arbel, Mehta, Raghav, Christinck, Thomas, Nair, Tanya, Lemaitre, Paul, Arnold, Douglas, Arbel, Tal |
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Canada | 2 | 18% |
India | 1 | 9% |
United States | 1 | 9% |
Switzerland | 1 | 9% |
Unknown | 6 | 55% |
Type | Count | As % |
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Scientists | 5 | 45% |
Members of the public | 3 | 27% |
Practitioners (doctors, other healthcare professionals) | 3 | 27% |
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Unknown | 20 | 100% |
Readers by professional status | Count | As % |
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Student > Master | 5 | 25% |
Student > Ph. D. Student | 3 | 15% |
Researcher | 2 | 10% |
Professor | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 35% |
Readers by discipline | Count | As % |
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Computer Science | 4 | 20% |
Engineering | 3 | 15% |
Physics and Astronomy | 1 | 5% |
Unknown | 12 | 60% |