Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical…
Springer International Publishing
Chapter title |
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation
|
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Chapter number | 2 |
Book title |
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-60365-6_2 |
Book ISBNs |
978-3-03-060364-9, 978-3-03-060365-6
|
Authors |
Marc Gantenbein, Ertunc Erdil, Ender Konukoglu |
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 25% |
Researcher | 4 | 20% |
Lecturer | 3 | 15% |
Student > Ph. D. Student | 3 | 15% |
Unknown | 5 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 35% |
Engineering | 5 | 25% |
Immunology and Microbiology | 1 | 5% |
Unknown | 7 | 35% |