Difference between revisions of "2017 Winter Project Week/Convolutional neural nets for lung cancer survival prediction"

Latest revision as of 04:58, 13 January 2017

Home < 2017 Winter Project Week < Convolutional neural nets for lung cancer survival prediction

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-==Project Description==
+__NOTOC__
-{| class="wikitable"
+<gallery>
-! style="text-align: left; width:27%" |   Objective
+Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
-! style="text-align: left; width:27%" |   Approach and Plan
+<!-- Use the "Upload file" link on the left and then add a line to this list like "File:MyAlgorithmScreenshot.png" -->
-! style="text-align: left; width:27%" |   Progress and Next Steps
+</gallery>
-|- style="vertical-align:top;"
-|
-<!-- Objective bullet points -->
-* Improve the predictive performance and retrian our CNN's - benchmark "deep" features results with those from "hand-crafted" radiomic features.
-|
-<!-- Approach and Plan bullet points -->
-* Identify best data preprocessing techniques for medical images: normalization vs standardization
-* 2d single slice vs 2.5d stacked orientations (RGB)
-* Identify dest data augmentation methods for medical images: cropping, brigtness, contrast..etc
-|
-<!-- Progress and Next steps bullet points (fill out at the end of project week) -->
-*
-*
-|}