Conference Paper/Proceeding/Abstract 410 views 275 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
-
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).
Download (2.74MB)
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
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa69644 |
| first_indexed |
2025-06-08T12:44:04Z |
|---|---|
| last_indexed |
2025-09-16T07:25:38Z |
| id |
cronfa69644 |
| recordtype |
SURis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2025-09-15T17:27:50.7281816</datestamp><bib-version>v2</bib-version><id>69644</id><entry>2025-06-08</entry><title>Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection</title><swanseaauthors><author><sid>7ca97985243eea5e7a2c0caf74e205c1</sid><firstname>Connor</firstname><surname>Atkins</surname><name>Connor Atkins</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>e75a68e11a20e5f1da94ee6e28ff5e76</sid><ORCID>0000-0001-7387-5180</ORCID><firstname>Gary</firstname><surname>Tam</surname><name>Gary Tam</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>684864a1ce01c3d774e83ed55e41770e</sid><ORCID>0000-0003-3367-969X</ORCID><firstname>Mike</firstname><surname>Edwards</surname><name>Mike Edwards</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>555e06e0ed9a87608f2d035b3bde3a87</sid><ORCID>0000-0002-4758-0394</ORCID><firstname>Jiaxiang</firstname><surname>Zhang</surname><name>Jiaxiang Zhang</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-06-08</date><deptcode>MACS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>Lecture Notes in Computer Science</journal><volume>15917</volume><journalNumber/><paginationStart>87</paginationStart><paginationEnd>101</paginationEnd><publisher>Springer Nature Switzerland</publisher><placeOfPublication>Cham</placeOfPublication><isbnPrint>9783031986901</isbnPrint><isbnElectronic>9783031986918</isbnElectronic><issnPrint>0302-9743</issnPrint><issnElectronic>1611-3349</issnElectronic><keywords>Histopathology; Digital Pathology; Whole Slide Image (WSI); Deep Learning; Segmentation</keywords><publishedDay>1</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2026</publishedYear><publishedDate>2026-01-01</publishedDate><doi>10.1007/978-3-031-98691-8_7</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm/><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.</funders><projectreference/><lastEdited>2025-09-15T17:27:50.7281816</lastEdited><Created>2025-06-08T13:40:04.4091575</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Connor</firstname><surname>Atkins</surname><order>1</order></author><author><firstname>Gary</firstname><surname>Tam</surname><orcid>0000-0001-7387-5180</orcid><order>2</order></author><author><firstname>Mike</firstname><surname>Edwards</surname><orcid>0000-0003-3367-969X</orcid><order>3</order></author><author><firstname>Muhammad</firstname><surname>Aslam</surname><order>4</order></author><author><firstname>Jiaxiang</firstname><surname>Zhang</surname><orcid>0000-0002-4758-0394</orcid><order>5</order></author></authors><documents><document><filename>69644__34416__901213e27a874146955e288d4c254aa1.pdf</filename><originalFilename>Cascade_Paper.pdf</originalFilename><uploaded>2025-06-08T13:43:40.5841767</uploaded><type>Output</type><contentLength>2872746</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><documentNotes>Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/deed.en</licence></document></documents><OutputDurs/></rfc1807> |
| spelling |
2025-09-15T17:27:50.7281816 v2 69644 2025-06-08 Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection 7ca97985243eea5e7a2c0caf74e205c1 Connor Atkins Connor Atkins true false e75a68e11a20e5f1da94ee6e28ff5e76 0000-0001-7387-5180 Gary Tam Gary Tam true false 684864a1ce01c3d774e83ed55e41770e 0000-0003-3367-969X Mike Edwards Mike Edwards true false 555e06e0ed9a87608f2d035b3bde3a87 0000-0002-4758-0394 Jiaxiang Zhang Jiaxiang Zhang true false 2025-06-08 MACS Conference Paper/Proceeding/Abstract Lecture Notes in Computer Science 15917 87 101 Springer Nature Switzerland Cham 9783031986901 9783031986918 0302-9743 1611-3349 Histopathology; Digital Pathology; Whole Slide Image (WSI); Deep Learning; Segmentation 1 1 2026 2026-01-01 10.1007/978-3-031-98691-8_7 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 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. 2025-09-15T17:27:50.7281816 2025-06-08T13:40:04.4091575 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Connor Atkins 1 Gary Tam 0000-0001-7387-5180 2 Mike Edwards 0000-0003-3367-969X 3 Muhammad Aslam 4 Jiaxiang Zhang 0000-0002-4758-0394 5 69644__34416__901213e27a874146955e288d4c254aa1.pdf Cascade_Paper.pdf 2025-06-08T13:43:40.5841767 Output 2872746 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en |
| title |
Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection |
| spellingShingle |
Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection Connor Atkins Gary Tam Mike Edwards Jiaxiang Zhang |
| title_short |
Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection |
| title_full |
Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection |
| title_fullStr |
Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection |
| title_full_unstemmed |
Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection |
| title_sort |
Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection |
| author_id_str_mv |
7ca97985243eea5e7a2c0caf74e205c1 e75a68e11a20e5f1da94ee6e28ff5e76 684864a1ce01c3d774e83ed55e41770e 555e06e0ed9a87608f2d035b3bde3a87 |
| author_id_fullname_str_mv |
7ca97985243eea5e7a2c0caf74e205c1_***_Connor Atkins e75a68e11a20e5f1da94ee6e28ff5e76_***_Gary Tam 684864a1ce01c3d774e83ed55e41770e_***_Mike Edwards 555e06e0ed9a87608f2d035b3bde3a87_***_Jiaxiang Zhang |
| author |
Connor Atkins Gary Tam Mike Edwards Jiaxiang Zhang |
| author2 |
Connor Atkins Gary Tam Mike Edwards Muhammad Aslam Jiaxiang Zhang |
| format |
Conference Paper/Proceeding/Abstract |
| container_title |
Lecture Notes in Computer Science |
| container_volume |
15917 |
| container_start_page |
87 |
| publishDate |
2026 |
| institution |
Swansea University |
| isbn |
9783031986901 9783031986918 |
| issn |
0302-9743 1611-3349 |
| doi_str_mv |
10.1007/978-3-031-98691-8_7 |
| publisher |
Springer Nature Switzerland |
| college_str |
Faculty of Science and Engineering |
| hierarchytype |
|
| hierarchy_top_id |
facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
| hierarchy_parent_id |
facultyofscienceandengineering |
| hierarchy_parent_title |
Faculty of Science and Engineering |
| department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
| document_store_str |
1 |
| active_str |
0 |
| published_date |
2026-01-01T05:30:15Z |
| _version_ |
1856986798264156160 |
| score |
11.096172 |

