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Update README.md
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README.md
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- We transformed the original images and segmentaion masks into the biometric measurement space
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using the transformation matrix in FeTA24 dataset.
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- We converted the landmark masks into JSON files.
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- Step 1: Get the corrdinates of 2 landmarks for each measurement
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- Step 2:
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placing the point closest to Right (R), Anterior (A), and Superior (S) first.
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- Step 3: Save the coordinates of all 10 landmarks to a JSON file.
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- We provided visualization of biometric measurements in corresponding 2D slices and landmarks.
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- Cases without biometric measurement data are excluded from FeTA24.
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- We transformed the original images and segmentaion masks into the biometric measurement space
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using the transformation matrix in FeTA24 dataset.
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- We converted the landmark masks into JSON files.
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- Step 1: Get the corrdinates of 2 landmarks for each measurement.
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- Step 2: Label landmarks according to the definitions in `landmarks_map`.
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- Step 3: Save the coordinates of all 10 landmarks to a JSON file.
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- We provided visualization of biometric measurements in corresponding 2D slices and landmarks.
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36 |
- Cases without biometric measurement data are excluded from FeTA24.
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