Difference between revisions of "2017 Winter Project Week/Diffusely abnormal white matter segmentation with 3d U-net"
From NAMIC Wiki
(5 intermediate revisions by 3 users not shown) | |||
Line 1: | Line 1: | ||
+ | __NOTOC__ | ||
+ | <gallery> | ||
+ | Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]] | ||
+ | <!-- Use the "Upload file" link on the left and then add a line to this list like "File:MyAlgorithmScreenshot.png" --> | ||
+ | </gallery> | ||
+ | |||
==Key Investigators== | ==Key Investigators== | ||
<!-- Add a bulleted list of investigators and their institutions here --> | <!-- Add a bulleted list of investigators and their institutions here --> | ||
Line 5: | Line 11: | ||
* Sandy Wells (BWH) | * Sandy Wells (BWH) | ||
* Tina Kapur (BWH) | * Tina Kapur (BWH) | ||
− | * | + | * Charles Guttmann (BWH) |
− | + | * Hans Meine (Univ. Bremen, Fh MEVIS) | |
==Project Description== | ==Project Description== | ||
Line 16: | Line 22: | ||
| | | | ||
<!-- Objective bullet points --> | <!-- Objective bullet points --> | ||
− | * | + | * Diffusely abnormal white matter (“DAWM”) are fuzzy-bordered areas of subtly increased signal |
+ | intensity on proton density or T2-weighted images. These abnormalities have been referred to as dirty white matter or dirty-appearing white matter. The goal is to develop an automated system that accurately segments diffusely abnormal white matter. | ||
| | | | ||
<!-- Approach and Plan bullet points --> | <!-- Approach and Plan bullet points --> | ||
Line 22: | Line 29: | ||
| | | | ||
<!-- Progress and Next steps bullet points (fill out at the end of project week) --> | <!-- Progress and Next steps bullet points (fill out at the end of project week) --> | ||
− | * | + | * The 3D-Unet architecture is implemented in Lasagne and it is currently being trained. |
|} | |} |
Latest revision as of 15:29, 6 June 2017
Home < 2017 Winter Project Week < Diffusely abnormal white matter segmentation with 3d U-netKey Investigators
- Mohsen Ghafoorian (BWH, Radboud University)
- Bram Platel (Radboud University)
- Sandy Wells (BWH)
- Tina Kapur (BWH)
- Charles Guttmann (BWH)
- Hans Meine (Univ. Bremen, Fh MEVIS)
Project Description
Objective | Approach and Plan | Progress and Next Steps |
---|---|---|
intensity on proton density or T2-weighted images. These abnormalities have been referred to as dirty white matter or dirty-appearing white matter. The goal is to develop an automated system that accurately segments diffusely abnormal white matter. |
|
|