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image
image
mask
image
outline
image
filename
string
subject_id
int32
frame_idx
int32
pixel_size_mm
float32
head_circumference_mm
float32
000_HC.png
0
1
0.069136
44.299999
001_HC.png
1
1
0.089659
56.810001
002_HC.png
2
1
0.062033
68.75
003_HC.png
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1
0.091291
69
004_HC.png
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0.06124
59.810001
005_HC.png
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1
0.115814
69.800003
006_HC.png
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1
0.065606
67.839996
007_HC.png
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1
0.109362
62.799999
008_HC.png
8
1
0.077655
62.099998
009_HC.png
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1
0.121525
62.310001
010_2HC.png
10
2
0.079927
72.870003
010_HC.png
10
1
0.079935
71.910004
011_HC.png
11
1
0.055484
69.900002
012_HC.png
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1
0.08346
59.400002
013_HC.png
13
1
0.061918
65.699997
014_2HC.png
14
2
0.078982
62.919998
014_3HC.png
14
3
0.077308
60.259998
014_HC.png
14
1
0.078906
63.34
015_HC.png
15
1
0.060416
69.300003
016_HC.png
16
1
0.060306
65.050003
017_2HC.png
17
2
0.091023
79.610001
017_HC.png
17
1
0.09107
79.32
018_HC.png
18
1
0.065966
71.589996
019_2HC.png
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2
0.11778
75.75
019_HC.png
19
1
0.118045
75.379997
020_HC.png
20
1
0.054484
68.410004
021_HC.png
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1
0.061126
69.489998
022_2HC.png
22
2
0.094348
64.449997
022_HC.png
22
1
0.049415
65.800003
023_2HC.png
23
2
0.11917
67.900002
023_HC.png
23
1
0.103586
70
024_HC.png
24
1
0.105223
73.199997
025_HC.png
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1
0.074478
70.510002
026_2HC.png
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2
0.113034
67.300003
026_HC.png
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1
0.113273
75.199997
027_HC.png
27
1
0.089299
65.75
028_HC.png
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0.094286
70
029_HC.png
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1
0.061848
66.300003
030_HC.png
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0.054229
64.300003
031_HC.png
31
1
0.07294
67.099998
032_2HC.png
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2
0.098355
62.48
032_HC.png
32
1
0.098084
65.370003
033_2HC.png
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2
0.097051
78.839996
033_HC.png
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1
0.097165
75.900002
034_HC.png
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1
0.090818
73.07
035_HC.png
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0.087756
72.089996
036_HC.png
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0.085636
73.959999
037_HC.png
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0.092241
78.5
038_HC.png
38
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0.060674
71.900002
039_HC.png
39
1
0.065501
72.800003
040_HC.png
40
1
0.079469
68.699997
041_HC.png
41
1
0.085456
79.800003
042_HC.png
42
1
0.05404
69.839996
043_HC.png
43
1
0.061755
69.940002
044_HC.png
44
1
0.113636
69.489998
045_HC.png
45
1
0.055071
72.989998
046_HC.png
46
1
0.074893
70.129997
047_HC.png
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0.089452
75.230003
048_HC.png
48
1
0.072728
73.800003
049_HC.png
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0.110113
69.699997
050_2HC.png
50
2
0.059183
67.190002
050_HC.png
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0.059113
67.5
051_HC.png
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0.061876
71.959999
052_HC.png
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0.087524
71.910004
053_HC.png
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0.10766
75.879997
054_HC.png
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0.05618
73.029999
055_HC.png
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0.073632
79
056_HC.png
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0.064414
69.860001
057_HC.png
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1
0.052229
74.610001
058_HC.png
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1
0.077068
69.639999
059_HC.png
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1
0.077571
76.199997
060_HC.png
60
1
0.098596
80.699997
061_2HC.png
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0.063066
75.230003
061_HC.png
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0.082829
70.110001
062_HC.png
62
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0.073931
74.599998
063_2HC.png
63
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0.114489
72.959999
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0.088257
80.300003
063_HC.png
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0.114394
69.760002
064_2HC.png
64
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0.069633
80.849998
064_HC.png
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0.069859
77.75
065_HC.png
65
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0.0851
76.300003
066_2HC.png
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0.068688
81.440002
066_HC.png
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0.068653
77.18
067_HC.png
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0.101269
74.309998
068_2HC.png
68
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0.060633
84.959999
068_HC.png
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0.060639
83.370003
069_HC.png
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0.064111
72
070_HC.png
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0.095562
72.510002
071_HC.png
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0.127615
72.699997
072_HC.png
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0.068466
76.410004
073_HC.png
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0.062411
76.290001
074_HC.png
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0.068277
75.800003
075_HC.png
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0.094553
84.639999
076_HC.png
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0.091438
79.349998
077_HC.png
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0.092154
75.949997
078_HC.png
78
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0.062732
78.080002
079_HC.png
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1
0.095779
82.279999
080_HC.png
80
1
0.054732
75.900002
081_HC.png
81
1
0.083264
71.910004
082_2HC.png
82
2
0.117037
65.709999
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HC18: Automated Fetal Head Circumference Measurement

Original paper | Grand Challenge | Zenodo

Overview

HC18 is a 2D ultrasound dataset for fetal head segmentation and circumference measurement, released as part of the HC18 Grand Challenge. It contains 1,334 standardized planes of the fetal head acquired from 551 pregnant women at Radboud UMC (Nijmegen, NL) between May 2014 and May 2015.

Splits

  • train (999): images + ellipse-outline annotations + per-image pixel size + ground-truth head circumference (mm)
  • test (335): images + per-image pixel size (no annotations released; ground truth held by challenge organizers)

Schema

train:

column type description
image Image 800x540 grayscale ultrasound
mask Image 800x540 binary (0/255) flood-filled segmentation mask
outline Image 800x540 binary 1-pixel ellipse outline as shipped
filename str original filename, e.g. 000_HC.png
subject_id int subject ID (0..805)
frame_idx int frame index for multi-frame subjects (1..4)
pixel_size_mm float pixel size in millimeters
head_circumference_mm float ground-truth head circumference (mm)

test (same schema as train; held-out fields are None):

column type description
image Image 800x540 grayscale ultrasound
mask Image / None always None (test masks are held by challenge organizers)
outline Image / None always None
filename str original filename
subject_id int parsed from filename
frame_idx int parsed from filename (all 1 for test)
pixel_size_mm float pixel size in millimeters
head_circumference_mm float / None always None (held-out ground truth)

Mask Format

The original annotations shipped with the dataset are 1-pixel-wide ellipse outlines (rings), not filled regions. The mask column is generated by flood-filling the outline interior using scipy.ndimage.binary_fill_holes — the standard preprocessing step described in the V-Net, Res-U-Net, and Mask-R^2 CNN papers. The original outline is preserved as the outline column.

License

Creative Commons Attribution 4.0 International (CC-BY-4.0).

Citation

van den Heuvel, T.L.A., de Bruijn, D., de Korte, C.L., van Ginneken, B.
Automated measurement of fetal head circumference using 2D ultrasound images.
PLoS ONE 13(8): e0200412 (2018).
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