Baidaa Al-Bander b.al-bander@keele.ac.uk
Improving Fetal Head Contour Detection by Object Localisation with Deep Learning
Al-Bander, Baidaa; Alzahrani, Theiab; Alzahrani, Saeed; Williams, Bryan M.; Zheng, Yalin
Authors
Theiab Alzahrani
Saeed Alzahrani
Bryan M. Williams
Yalin Zheng
Citation
Al-Bander, B., Alzahrani, T., Alzahrani, S., Williams, B. M., & Zheng, Y. (2020). Improving Fetal Head Contour Detection by Object Localisation with Deep Learning. . Springer. https://doi.org/10.1007/978-3-030-39343-4_12
| Online Publication Date | Jan 24, 2020 |
|---|---|
| Publication Date | 2020 |
| Deposit Date | Jun 14, 2023 |
| Publisher | Springer |
| Pages | 142-150 |
| ISBN | 18650937 18650929 |
| DOI | https://doi.org/10.1007/978-3-030-39343-4_12 |
| Additional Information | First Online: 24 January 2020; Conference Acronym: MIUA; Conference Name: Annual Conference on Medical Image Understanding and Analysis; Conference City: Liverpool; Conference Country: United Kingdom; Conference Year: 2019; Conference Start Date: 24 July 2019; Conference End Date: 26 July 2019; Conference Number: 23; Conference ID: miua2019; Conference URL: https://miua2019.com/; Type: Double-blind; Conference Management System: ocs; Number of Submissions Sent for Review: 70; Number of Full Papers Accepted: 43; Number of Short Papers Accepted: 0; Acceptance Rate of Full Papers: 61% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.; Average Number of Reviews per Paper: 2; Average Number of Papers per Reviewer: 3; External Reviewers Involved: Yes |
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