Difference between revisions of "Project Week 25/NeedleSegmentation"
From NAMIC Wiki
| Line 24: | Line 24: | ||
| | | | ||
<!-- Objective bullet points --> | <!-- Objective bullet points --> | ||
| − | * Refine/clear the segmentations coming from the CNN algorithm | + | * Refine/clear the segmentations coming from the CNN algorithm. |
| + | * Figure out how to transfer MRIs to some server hosting the CNN code and how to get back the results. | ||
| | | | ||
<!-- Approach and Plan bullet points --> | <!-- Approach and Plan bullet points --> | ||
Revision as of 07:09, 22 June 2017
Home < Project Week 25 < NeedleSegmentation
Back to Projects List
Key Investigators
- Paolo Zaffino (Magna Graecia University, Italy)
- Salvatore Scaramuzzino (Magna Graecia University/ASL Vercelli, Italy)
- Maria Francesca Spadea (Magna Graecia University, Italy)
- Guillaume Pernelle (remote) (Imperial College, London, UK)
- Alireza Mehrtash (remote) (Brigham and Women's Hospital, Harvard Medical School, USA)
- Tina Kapur (Brigham and Women's Hospital, Harvard Medical School, USA)
Project Description
NeedleFinder offers tools to segment needles from MRI/CT. It has mostly been tested on MRI from GYN brachytherapy cases. Anyway, this tool requires manual interaction. Now we want to develop a completely automatic strategy to segment the needles. For this purpose, we tested a CNN approach that provides good results, even if a post processing step must be implemented in order to remove some noise and to refine the obtained segmentations.
| Objective | Approach and Plan | Progress and Next Steps |
|---|---|---|
|
Please start each sentence in a new line. |
TDB |
Illustrations
