Expected Label Value (ELV) for Image Segmentation
Supervised image soft-segmentation using the multi-atlas based Expected Label Value (ELV) approach.
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Cite As
Iman Aganj (2026). Expected Label Value (ELV) for Image Segmentation (https://www.mathworks.com/matlabcentral/fileexchange/81283-expected-label-value-elv-for-image-segmentation), MATLAB Central File Exchange. Retrieved .
Aganj, Iman, and Bruce Fischl. “Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value.” IEEE Transactions on Medical Imaging, vol. 40, no. 6, Institute of Electrical and Electronics Engineers (IEEE), June 2021, pp. 1702–10, doi:10.1109/tmi.2021.3064661.
General Information
- Version 1.1.1 (15.1 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.1.1 | Adding a missing file (sizeD.m). |
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| 1.1.0 | ELV segmentation has been extended to accept multi-channel images. |
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| 1.0.4 | Minor update. |
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| 1.0.3 | The IBSR example has been updated. |
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| 1.0.2 | Minor update. |
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| 1.0.1 | Minor update. |
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| 1.0.0 |
