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@@ -29,9 +29,8 @@ size_categories:
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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: Order and label the two landmarks according to the RAS+ convention,
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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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  - Cases without biometric measurement data are excluded from FeTA24.