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Correct internal test set size to 189 patients

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  1. README.md +8 -6
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@@ -15,13 +15,13 @@ tags:
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  **Sequence-agnostic whole-liver segmentation on abdominal MRI.**
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- LiverSegMRI is a five-fold nnU-Net v2 ensemble (`3d_fullres`, `nnUNetTrainerNoMirroring`) that segments the whole 3D liver on a single abdominal MRI sequence. It is sequence agnostic and handles:
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  - T1-weighted in- and opposed-phase
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- - T1W pre-contrast and dynamic post-contrast (early and late arterial, portal venous, transitional or delayed)
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- - T1W hepatobiliary phase
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  - T2-weighted
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- - Diffusion-weighted and ADC
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  | Resource | Link |
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  |---|---|
@@ -89,7 +89,7 @@ Patient-wise mean Dice:
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  | Test set | Patients | LiverSegMRI | TotalSegmentator MRI | MRAnnotator |
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  |---|---:|---:|---:|---:|
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  | External: Duke Liver Dataset and CirrMRI600+ | 487 | **0.944** | 0.886 | 0.889 |
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- | Internal: held out | 188 | **0.985** | 0.880 | 0.894 |
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  | Development: out-of-fold | 1,058 | 0.983 | — | — |
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  External test set, LiverSegMRI vs comparators:
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  | HD95 (mm) | 6.6 | 15.3 | 27.0 |
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  | Volume error (%) | 5.0 | 13.9 | 12.5 |
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- - **By field strength:** performance was similar at 1.5 T and 3.0 T.
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  - **Comparisons with the other models:** all paired comparisons were significant with Holm-adjusted P < .001.
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  ### Performance across sequence types and liver morphology
@@ -122,6 +122,8 @@ Three examinations, one per row, each shown with the manual reference (red) and
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  - **E–H, T2-weighted imaging.** The liver is dark against a bright spleen; both comparators under-segment the dome and the left lobe (0.96 vs 0.74 and 0.75).
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  - **I–L, diffusion-weighted imaging.** The lowest-resolution sequence shown: TotalSegmentator MRI misses the posterior right lobe and MRAnnotator fragments inside the parenchyma, while LiverSegMRI reproduces the reference almost exactly (0.98 vs 0.68 and 0.79).
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  See the paper for sequence-wise, subgroup, failure, and label-matched analyses.
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  ## Intended use and limitations
 
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  **Sequence-agnostic whole-liver segmentation on abdominal MRI.**
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+ LiverSegMRI is a five-fold nnU-Net v2 ensemble (`3d_fullres`, `nnUNetTrainerNoMirroring`) that segments the whole liver on a single abdominal MRI sequence. It needs no sequence labels and handles:
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  - T1-weighted in- and opposed-phase
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+ - pre-contrast and dynamic post-contrast (early and late arterial, portal venous, transitional or delayed)
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+ - hepatobiliary phase
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  - T2-weighted
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+ - diffusion-weighted and ADC
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  | Resource | Link |
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  |---|---|
 
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  | Test set | Patients | LiverSegMRI | TotalSegmentator MRI | MRAnnotator |
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  |---|---:|---:|---:|---:|
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  | External: Duke Liver Dataset and CirrMRI600+ | 487 | **0.944** | 0.886 | 0.889 |
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+ | Internal: held out | 189 | **0.985** | 0.880 | 0.894 |
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  | Development: out-of-fold | 1,058 | 0.983 | — | — |
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  External test set, LiverSegMRI vs comparators:
 
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  | HD95 (mm) | 6.6 | 15.3 | 27.0 |
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  | Volume error (%) | 5.0 | 13.9 | 12.5 |
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+ - **By field strength:** in Mount Sinai patients with DICOM metadata, performance was similar at 1.5 T and 3.0 T.
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  - **Comparisons with the other models:** all paired comparisons were significant with Holm-adjusted P < .001.
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  ### Performance across sequence types and liver morphology
 
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  - **E–H, T2-weighted imaging.** The liver is dark against a bright spleen; both comparators under-segment the dome and the left lobe (0.96 vs 0.74 and 0.75).
123
  - **I–L, diffusion-weighted imaging.** The lowest-resolution sequence shown: TotalSegmentator MRI misses the posterior right lobe and MRAnnotator fragments inside the parenchyma, while LiverSegMRI reproduces the reference almost exactly (0.98 vs 0.68 and 0.79).
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+ The pattern matches the quantitative result above: the models agree most on high-resolution contrast-enhanced T1-weighted imaging and diverge on T2-weighted and diffusion-weighted acquisitions.
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+
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  See the paper for sequence-wise, subgroup, failure, and label-matched analyses.
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  ## Intended use and limitations