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| Chapter title |
Improving Pathological Distribution Measurements with Bayesian Uncertainty
|
|---|---|
| Chapter number | 7 |
| 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_7 |
| Book ISBNs |
978-3-03-060364-9, 978-3-03-060365-6
|
| Authors |
Ka Ho Tam, Korsuk Sirinukunwattana, Maria F. Soares, Maria Kaisar, Rutger Ploeg, Jens Rittscher, Tam, Ka Ho, Sirinukunwattana, Korsuk, Soares, Maria F., Kaisar, Maria, Ploeg, Rutger, Rittscher, Jens |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 50% |
| Researcher | 1 | 25% |
| Student > Postgraduate | 1 | 25% |
| Student > Master | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 75% |
| Computer Science | 2 | 50% |