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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/27030Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Naseem, U | - |
| dc.contributor.author | Khushi, M | - |
| dc.contributor.author | Dunn, AG | - |
| dc.contributor.author | Kim, J | - |
| dc.date.accessioned | 2023-08-22T18:50:26Z | - |
| dc.date.available | 2023-08-22T18:50:26Z | - |
| dc.date.issued | 2023-07-11 | - |
| dc.identifier | ORCID iDs: Usman Naseem https://orcid.org/0000-0003-0191-7171; Matloob Khushi https://orcid.org/0000-0001-7792-2327; Adam G. Dunn https://orcid.org/0000-0002-1720-8209; Jinman Kim https://orcid.org/0000-0001-5960-1060. | - |
| dc.identifier.citation | Naseem, U. et al. (2023) 'K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering', IEEE Journal of Biomedical and Health Informatics, 0 (early access), pp. 1 - 10. doi: 10.1109/jbhi.2023.3294249. | en_US |
| dc.identifier.issn | 2168-2194 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27030 | - |
| dc.description.sponsorship | ARC (Grant Number: DP200103748) | en_US |
| dc.format.extent | 1 - 10 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.rights | Copyright © 2023 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.rights.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.subject | pathology Images | en_US |
| dc.subject | medical visual question answering | en_US |
| dc.subject | multimodal representation | en_US |
| dc.title | K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/jbhi.2023.3294249 | - |
| dc.relation.isPartOf | IEEE Journal of Biomedical and Health Informatics | - |
| pubs.publication-status | Published | - |
| pubs.volume | 0 | - |
| dc.identifier.eissn | 2168-2208 | - |
| dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2023 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html | 13.71 MB | Adobe PDF | View/Open |
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