Expected Label Value (ELV) for Image Segmentation

Versione 1.1.1 (15,1 KB) da Iman Aganj

Supervised image soft-segmentation using the multi-atlas based Expected Label Value (ELV) approach.

https://www.nitrc.org/projects/elv

Segui

0.0

(0)

125 download

Aggiornato 1 dic 2023

Visualizza la licenza

This is the public Matlab implementation of medical image soft segmentation using the supervised multi-atlas based Expected Label Value (ELV) approach proposed by Aganj and Fischl (IEEE TMI 2021). This approach considers the probability of all possible atlas-to-image transformations and computes the ELV, thus bypassing deformable registration and avoiding the associated computational costs. A short tutorial is included in EXAMPLE.m.

This package also includes functions for FFT-based convolution, which can be used independently.

Cita come

Iman Aganj (2024). 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. Recuperato luglio 26, 2024.

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.

Visualizza più stili

Compatibilità della release di MATLAB

Creato con R2020b

Compatibile con qualsiasi release

Compatibilità della piattaforma

Windows macOS Linux

Tag Aggiungi tag

Riconoscimenti

Ispirato da: Mid-Space-Independent and IDIR Deformable Image Registration

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versione	Pubblicato	Note della release
1.1.1	1 dic 2023	Adding a missing file (sizeD.m).	Scarica
1.1.0	1 mag 2023	ELV segmentation has been extended to accept multi-channel images.	Scarica
1.0.4	2 giu 2021	Minor update.	Scarica
1.0.3	25 gen 2021	The IBSR example has been updated.	Scarica
1.0.2	22 ott 2020	Minor update.	Scarica
1.0.1	16 ott 2020	Minor update.	Scarica
1.0.0	16 ott 2020		Scarica

MLA	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.
APA	Aganj, I., & Fischl, B. (2021). Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value. IEEE Transactions on Medical Imaging, 40(6), 1702–1710. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Ftmi.2021.3064661
BibTeX	@article{Aganj_2021, doi = {10.1109/tmi.2021.3064661}, url = {https://doi.org/10.1109%2Ftmi.2021.3064661}, year = 2021, month = {jun}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {40}, number = {6}, pages = {1702--1710}, author = {Iman Aganj and Bruce Fischl}, title = {Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value}, journal = {{IEEE} Transactions on Medical Imaging} }