Conference Paper/Proceeding/Abstract 312 views 194 downloads
Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection
Lecture Notes in Computer Science, Volume: 15917, Pages: 87 - 101
Swansea University Authors:
Connor Atkins, Gary Tam , Mike Edwards
, Jiaxiang Zhang
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PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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DOI (Published version): 10.1007/978-3-031-98691-8_7
Abstract
Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection
| Published in: | Lecture Notes in Computer Science |
|---|---|
| ISBN: | 9783031986901 9783031986918 |
| ISSN: | 0302-9743 1611-3349 |
| Published: |
Cham
Springer Nature Switzerland
2026
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69644 |
| Keywords: |
Histopathology; Digital Pathology; Whole Slide Image (WSI); Deep Learning; Segmentation |
|---|---|
| College: |
Faculty of Science and Engineering |
| Funders: |
This work was funded by EPSRC grant number EP/S021892/1 and Cancer Research Wales. For the purpose of open access the authors have applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission. |
| Start Page: |
87 |
| End Page: |
101 |

