Difference between revisions of "2017 Winter Project Week/ProstateSectorSegmentation"

Revision as of 14:33, 13 January 2017

Home < 2017 Winter Project Week < ProstateSectorSegmentation

Objective	Approach and Plan	Progress and Next Steps
Segmentation of prostate and its sectors Specifically, segmentation of the following prostate sectors: peripheral zones, transition zones, central zone, anterior fibromuscular stroma and urethral sphincter	Generation/ Refinement of ground truth data Creation of a 3D sector model Test with ProstateX challenge dataset (where zones of findings are given) to predict the zone with Deep Learning if more training data is available: deep learning for an automatic sector segmentation (Try (model-based) segmentation approach (costs for segmentation optimization can be derived for example from supervised classification of the gland tissue). The shape of individual sector models could be used as segmentation prior)	Creation of 3 zone segmentations of the prostate (different volumes) Prediction of zones in ProstateX challenge with Deep Learning is in progress

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 * Generation/ Refinement of ground truth data
 * Creation of a 3D sector model
-* Initialization of segmentation with user interaction or atlas-based segmentation (in order to decrease search space)
+* Test with ProstateX challenge dataset (where zones of findings are given) to predict the zone with Deep Learning
-* Try (model-based) segmentation approach (costs for segmentation optimization can be derived for example from supervised classification of the gland tissue). The shape of individual sector models could be used as segmentation prior
+* if more training data is available: deep learning for an automatic sector segmentation
-* if more training data is available: deep learning for a better cost generation or for an automatic sector segmentation
+* (Try (model-based) segmentation approach (costs for segmentation optimization can be derived for example from supervised classification of the gland tissue). The shape of individual sector models could be used as segmentation prior)
 |
 <!-- Progress and Next steps bullet points (fill out at the end of project week) -->
-*
+* Creation of 3 zone segmentations of the prostate (different volumes)
+* Prediction of zones in ProstateX challenge with Deep Learning is in progress
 |}
 ==Background and References==
 <!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data -->