2017 Winter Project Week/SegWithSubtractionAndModel

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  Projects List

Key Investigators

• Andrew Beers, MGH
• Jayashree Kalpathy-Cramer, MGH

Project Description

Objective	Approach and Plan	Progress and Next Steps
In spite of recent advances in automatic segmentation technologies, manual segmentation is still often needed to either correct errors in the automatic segmentation or to achieve higher standard of segmentation accuracy. However, manual segmentation will become increasingly difficult as scan resolution and thus the number of slices to annotate increases. We are developing a module that takes advantage of subtraction maps and automatically-formed 3D ROIs to make accurate and efficient annotations in high resolution spaces.	Confer with others to create convenient 3D visualizations of user-created ROIs, fix UI/UX bugs, integrate with the existing Editor and Segmentations Editor, and package and release as a functioning module.