Alemi Koohbanani, N, Jahanifar, M, Gooya, A et al. (1 more author) (2019) Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework. In: Lecture Notes in Computer Science. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 13-17 Oct 2019, Shenzhen, China. Springer Verlag , pp. 622-630. ISBN 9783030322380
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Keywords: | Computational pathology; Instance segmentation; Nuclear segmentation |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 22 Apr 2021 10:16 |
| Last Modified: | 27 May 2021 07:48 |
| Status: | Published |
| Publisher: | Springer Verlag |
| Identification Number: | 10.1007/978-3-030-32239-7_69 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:173319 |
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