Datasets:
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 | 3 | 1 | 0.091291 | 69 | |||
004_HC.png | 4 | 1 | 0.06124 | 59.810001 | |||
005_HC.png | 5 | 1 | 0.115814 | 69.800003 | |||
006_HC.png | 6 | 1 | 0.065606 | 67.839996 | |||
007_HC.png | 7 | 1 | 0.109362 | 62.799999 | |||
008_HC.png | 8 | 1 | 0.077655 | 62.099998 | |||
009_HC.png | 9 | 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 | 12 | 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 | 19 | 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 | 21 | 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 | 25 | 1 | 0.074478 | 70.510002 | |||
026_2HC.png | 26 | 2 | 0.113034 | 67.300003 | |||
026_HC.png | 26 | 1 | 0.113273 | 75.199997 | |||
027_HC.png | 27 | 1 | 0.089299 | 65.75 | |||
028_HC.png | 28 | 1 | 0.094286 | 70 | |||
029_HC.png | 29 | 1 | 0.061848 | 66.300003 | |||
030_HC.png | 30 | 1 | 0.054229 | 64.300003 | |||
031_HC.png | 31 | 1 | 0.07294 | 67.099998 | |||
032_2HC.png | 32 | 2 | 0.098355 | 62.48 | |||
032_HC.png | 32 | 1 | 0.098084 | 65.370003 | |||
033_2HC.png | 33 | 2 | 0.097051 | 78.839996 | |||
033_HC.png | 33 | 1 | 0.097165 | 75.900002 | |||
034_HC.png | 34 | 1 | 0.090818 | 73.07 | |||
035_HC.png | 35 | 1 | 0.087756 | 72.089996 | |||
036_HC.png | 36 | 1 | 0.085636 | 73.959999 | |||
037_HC.png | 37 | 1 | 0.092241 | 78.5 | |||
038_HC.png | 38 | 1 | 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 | 47 | 1 | 0.089452 | 75.230003 | |||
048_HC.png | 48 | 1 | 0.072728 | 73.800003 | |||
049_HC.png | 49 | 1 | 0.110113 | 69.699997 | |||
050_2HC.png | 50 | 2 | 0.059183 | 67.190002 | |||
050_HC.png | 50 | 1 | 0.059113 | 67.5 | |||
051_HC.png | 51 | 1 | 0.061876 | 71.959999 | |||
052_HC.png | 52 | 1 | 0.087524 | 71.910004 | |||
053_HC.png | 53 | 1 | 0.10766 | 75.879997 | |||
054_HC.png | 54 | 1 | 0.05618 | 73.029999 | |||
055_HC.png | 55 | 1 | 0.073632 | 79 | |||
056_HC.png | 56 | 1 | 0.064414 | 69.860001 | |||
057_HC.png | 57 | 1 | 0.052229 | 74.610001 | |||
058_HC.png | 58 | 1 | 0.077068 | 69.639999 | |||
059_HC.png | 59 | 1 | 0.077571 | 76.199997 | |||
060_HC.png | 60 | 1 | 0.098596 | 80.699997 | |||
061_2HC.png | 61 | 2 | 0.063066 | 75.230003 | |||
061_HC.png | 61 | 1 | 0.082829 | 70.110001 | |||
062_HC.png | 62 | 1 | 0.073931 | 74.599998 | |||
063_2HC.png | 63 | 2 | 0.114489 | 72.959999 | |||
063_3HC.png | 63 | 3 | 0.088257 | 80.300003 | |||
063_HC.png | 63 | 1 | 0.114394 | 69.760002 | |||
064_2HC.png | 64 | 2 | 0.069633 | 80.849998 | |||
064_HC.png | 64 | 1 | 0.069859 | 77.75 | |||
065_HC.png | 65 | 1 | 0.0851 | 76.300003 | |||
066_2HC.png | 66 | 2 | 0.068688 | 81.440002 | |||
066_HC.png | 66 | 1 | 0.068653 | 77.18 | |||
067_HC.png | 67 | 1 | 0.101269 | 74.309998 | |||
068_2HC.png | 68 | 2 | 0.060633 | 84.959999 | |||
068_HC.png | 68 | 1 | 0.060639 | 83.370003 | |||
069_HC.png | 69 | 1 | 0.064111 | 72 | |||
070_HC.png | 70 | 1 | 0.095562 | 72.510002 | |||
071_HC.png | 71 | 1 | 0.127615 | 72.699997 | |||
072_HC.png | 72 | 1 | 0.068466 | 76.410004 | |||
073_HC.png | 73 | 1 | 0.062411 | 76.290001 | |||
074_HC.png | 74 | 1 | 0.068277 | 75.800003 | |||
075_HC.png | 75 | 1 | 0.094553 | 84.639999 | |||
076_HC.png | 76 | 1 | 0.091438 | 79.349998 | |||
077_HC.png | 77 | 1 | 0.092154 | 75.949997 | |||
078_HC.png | 78 | 1 | 0.062732 | 78.080002 | |||
079_HC.png | 79 | 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 |
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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