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