Difference between revisions of "TIBM: Segmentation"

Revision as of 11:12, 10 October 2016

This research topic gathers all contributions related to the automatic extraction of anatomical or functional structures from biomedical images.

A multi-atlas segmentation framework based on patch fusion has been proposed for parcellating both cortex and deep brain structures 2-RHS11.
In the context of the ANR Vivabrain, a method based on component-trees has been set up to segment the cerebral vascular tree 2-DTNT13.
Original algorithms have also been developed in the project ERC FBrain for segmenting brain tissues from fetal MRI 2-RHS11, 2-CPHS11, 2-PNRK11.
Finally, Markov approaches have been implemented for the automatic identification of multiple sclerosis lesions in multimodal 2-BCA14 and temporal 4-LCA14 MRI sequences.
Besides MRI, other contributions involve CT scan images in order to delineate vertebrae 4-CRMC15 or to estimate the hepatic tumor necrosis rate 4-CNRH16, 4-CRNH15.
A method combining texture descriptors and a supervised classification scheme has also been proposed for segmenting high-resolution histopathological data 4-ANFF14.

@@ Line 6: / Line 6: @@
 This research topic gathers all contributions related to the automatic extraction of anatomical or functional structures from biomedical images.
-* A multi-atlas segmentation framework based on patch fusion has been proposed for parcellating both the cortex and the deep brain structures [https://icube-publis.unistra.fr/2-RHS11 2-RHS11].
+* A multi-atlas segmentation framework based on patch fusion has been proposed for parcellating both cortex and deep brain structures [https://icube-publis.unistra.fr/2-RHS11 2-RHS11].
 * In the context of the [http://icube-vivabrain.unistra.fr/index.php/Main_Page ANR Vivabrain], a method based on component-trees has been set up to segment the cerebral vascular tree [https://icube-publis.unistra.fr/2-DTNT13 2-DTNT13].
 * Original algorithms have also been developed in the project [http://icube-miv.unistra.fr/fr/index.php/ERC_FBrain ERC FBrain] for segmenting brain tissues from fetal MRI [https://icube-publis.unistra.fr/2-RHS11 2-RHS11], [https://icube-publis.unistra.fr/2-CPHS11 2-CPHS11], [https://icube-publis.unistra.com/2-PNRK11 2-PNRK11].