Conference item
Discovering salient anatomical landmarks by predicting human gaze
- Abstract:
-
Anatomical landmarks are a crucial prerequisite for many medical imaging tasks. Usually, the set of landmarks for a given task is predefined by experts. The landmark locations for a given image are then annotated manually or via machine learning methods trained on manual annotations. In this paper, in contrast, we present a method to automatically discover and localize anatomical landmarks in medical images. Specifically, we consider landmarks that attract the visual attention of humans, whic...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Publication date:
- 2020-05-22
- Acceptance date:
- 2020-01-06
- Event title:
- IEEE International Symposium on Biomedical Imaging 2020 (ISBI 2020)
- Event location:
- Iowa City, Iowa, United States
- Event start date:
- 2020-04-03
- Event end date:
- 2020-04-07
- DOI:
- EISSN:
-
1945-8452
- ISSN:
-
1945-7928
- EISBN:
- 9781538693308
- ISBN:
- 9781538693315
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1083710
- Local pid:
- pubs:1083710
- Deposit date:
- 2020-01-29
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2020
- Rights statement:
- © IEEE 2020.
- Licence:
- Other
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