2016 Winter Project Week/Projects/DigitalPathologyNuclearSegmentation

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  Projects List

Key Investigators

• Erich Bremer - Stony Brook University
• Yi Gao - Stony Brook University
• Nicole Aucoin - Brigham and Women's Hospital
• Andrey Fedorov - Brigham and Women's Hospital
• Kelli Xu - MIT

Project Description

Objective	Approach and Plan	Progress and Next Steps
Create intuitive and user-friendly GUI make meta-data exportable Prepare extension for Phase II cloud work and future modules	create work-flow module walking user through needed steps wrap editor module to allow for customization for segmentation purposes without interfering with global editor instance capture needed data elements and export them as JSON-LD supplementing exporting of masks augment GUI by requesting authentication information for OAuth 2.0 and adding elements for image selection via web. refactor existing extension modules into separate distinct editor effects modules (currently lumped as one)	initial work-flow module created editor module wrapped and including in one of the step tabs of the work-flow module label mask saved, still need to add additional meta data (algorithm parameters) as JSON-LD export username/password entries added to work-flow module for future web authentication original single editor-effect refactored into separate effects. Further cleaning of of code needed future work - allow image tiles to be select via web interface and resultant label masks and meta data to be exported directly to web services using OAuth2 authenication remove unneeded GUI elements and set additional field automatically. Create better tab icons! test SlicerPathology with new OpenCV Extension

SlicerPathology extension at the start of Winter Work Week 2016

SlicerPathology extension at the end of Winter Work Week 2016

Background and References

• SlicerPathology extension source repository
• Fast Growcut