Conference item
Automated annotator: capturing expert knowledge for free
- Abstract:
-
Deep learning enabled medical image analysis is heavily reliant on expert annotations which is costly. We present a simple yet effective automated annotation pipeline that uses autoencoder based heatmaps to exploit high level information that can be extracted from a histology viewer in an unobtrusive fashion. By predicting heatmaps on unseen images the model effectively acts like a robot annotator. The method is demonstrated in the context of coeliac disease histology images in this initial w...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Funding
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Host title:
- 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
- Pages:
- 2664-2667
- Publication date:
- 2021-12-09
- Acceptance date:
- 2021-07-16
- Event title:
- 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Event location:
- Virtual event
- Event website:
- https://embc.embs.org/2021/
- Event start date:
- 2021-11-01
- Event end date:
- 2021-11-05
- DOI:
- EISSN:
-
2694-0604
- ISSN:
-
2375-7477
- Pmid:
-
34891800
- EISBN:
- 9781728111797
- ISBN:
- 9781728111803
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1230582
- Local pid:
- pubs:1230582
- Deposit date:
- 2022-08-02
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2021
- Rights statement:
- © 2021 IEEE.
- Notes:
- This is the accepted manuscript version of the paper. The final version is available online from IEEE at: https://doi.org/10.1109/EMBC46164.2021.9630309
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