Difference between revisions of "2016 Winter Project Week/Projects/BatchImageAnalysis"
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! style="text-align: left; width:27%" | Objective | ! style="text-align: left; width:27%" | Objective | ||
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| − | * | + | * Run feature detection code over a collection of medical images pulled from PACS |
| + | * Investigate a collection of ADC maps of neonates (diffusion MR) | ||
| + | * Patients labeled with age and health status (normal, mildly abnormal, severely abnormal) | ||
| + | * Use 3D SIFT code to see if health status can be detected in images | ||
| + | * (if time) try text analysis of radiology reports | ||
! style="text-align: left; width:27%" | Approach, Plan | ! style="text-align: left; width:27%" | Approach, Plan | ||
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| − | * | + | * Use deidentified cohort of neonate images collected from MGH |
| + | * Install data and software on AWS, try StarCluster | ||
| + | * Explore visualization options | ||
| + | * (if time) integrate image features with analysis of radiology report text | ||
! style="text-align: left; width:27%" | Progress | ! style="text-align: left; width:27%" | Progress | ||
Revision as of 00:41, 16 December 2015
Home < 2016 Winter Project Week < Projects < BatchImageAnalysis
Key Investigators
- Kalli Retzepi (MGH)
- Yangming Ou (MGH)
- Matt Toews (?)
- Steve Pieper (BWH)
- Sandy Wells (BWH)
- Randy Gollub (MGH)
Project Description
Objective
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Approach, Plan
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Progress
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