Conference item
Automated myocardial wall motion classification using handcrafted features vs a deep CNN-based mapping
- Abstract:
-
Compared to other modalities such as computed tomography or magnetic resonance imaging, the appearance of ultrasound images is highly dependent on the expertise of the sonographer or clinician making the image acquisition, as well as the machine used, making it a challenge to analyze due to the frequent presence of artefacts, missing boundaries, attenuation, shadows, and speckle. In addition, manual contouring of the epicardial and endocardial walls exhibits large inconsistencies and variatio...
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- Publication status:
- Published
- Peer review status:
- Reviewed (other)
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Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Host title:
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Journal:
- Annual International Conference of the IEEE Engineering in Medicine and Biology Societymedicin Journal website
- Volume:
- 2018
- Pages:
- 3140-3143
- Publication date:
- 2018-10-29
- Acceptance date:
- 2018-07-17
- Event location:
- United States
- DOI:
- ISSN:
-
1557-170X
- Pmid:
-
30441060
- ISBN:
- 9781538636466
Item Description
- Keywords:
- Pubs id:
-
pubs:952315
- UUID:
-
uuid:66aa8ba4-7a27-421c-9456-621074bd5684
- Local pid:
- pubs:952315
- Source identifiers:
-
952315
- Deposit date:
- 2019-05-23
Terms of use
- Copyright date:
- 2018
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