diff --git a/dataset_conversion/softseg_to_int16.py b/dataset_conversion/softseg_to_int16.py
new file mode 100644
index 0000000..42bec9c
--- /dev/null
+++ b/dataset_conversion/softseg_to_int16.py
@@ -0,0 +1,57 @@
+import argparse
+
+import nibabel as nib
+import numpy as np
+
+
+# TODO MORE TEST
+def get_parser():
+    # parse command line arguments
+    parser = argparse.ArgumentParser(description='Convert softseg float value to integer class value')
+    parser.add_argument('--path-in', required=True, help='Path to softseg file')
+    parser.add_argument('--path-out', required=True, help='Path to save converted file')
+    parser.add_argument('--softseg', nargs='+', type=float, help='Voxel value class name (separated with space).'
+                                                                 'If the label file is a soft segmentation, voxel value'
+                                                                 ' will be discretize in class. Example:'
+                                                                 '--softseg 0.001 0.25 0.5 0.75  '
+                                                                 '(4 class with values [0.001, 0.25), [0.25, 0.5), '
+                                                                 '[0.5, 0.75), [0.75, 1) respectively')
+    return parser
+
+
+def discretise_soft_seg(label_file, interval, out):
+    """
+    Discretize softseg in integer class.
+    Args:
+        label_file (str): Path to the label file
+        interval (list): List with class boundary
+    """
+    nifti_file = nib.load(label_file)
+    data = nifti_file.get_fdata()
+    class_voxel = np.zeros_like(data, dtype=np.int16)
+    for i, value in enumerate(interval):
+        lower_bound = interval[i]
+        if i == len(interval) - 1:
+            class_voxel[data >= lower_bound] = i + 1
+        else:
+            upper_bound = interval[i + 1]
+            class_voxel[(data >= lower_bound) & (data < upper_bound)] = i + 1
+    voxel_img = nib.Nifti1Image(class_voxel, nifti_file.affine, nifti_file.header)
+    nib.save(voxel_img, out)
+
+
+def main():
+    parser = get_parser()
+    args = parser.parse_args()
+    path_in = args.path_data
+    path_out = args.path_out
+    softseg = args.softseg
+    if softseg:
+        for i in range(1, len(softseg)):
+            if softseg[i] <= softseg[i - 1]:
+                raise ValueError(f"Softseg values {softseg} are not increasing.")
+    discretise_soft_seg(path_in, softseg, path_out)
+
+
+if __name__ == '__main__':
+    main()