# Semantic Segmentation on 3D Ultrasound Data left Pulse sensor baseline (test)

Source: [Semantic Segmentation on 3D Ultrasound Data left Pulse sensor baseline (test)](<https://www.sota2.com/research/sota/semantic-segmentation-on-3d-ultrasound-data-left-pulse-sensor-baseline-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:01:15.232Z

Evaluation of Semantic Segmentation performance on the test split of the 3D Ultrasound Data left Pulse sensor baseline dataset, reporting Recall, Precision, F1 (Dice), and IoU.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Semantic Segmentation |
| Dataset (including any stated split) | 3D Ultrasound Data left Pulse sensor baseline (test) |
| Metric | Recall |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Recall](<https://www.sota2.com/research/sota/semantic-segmentation-on-3d-ultrasound-data-left-pulse-sensor-baseline-test.md?metric=Recall>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/semantic-segmentation-on-3d-ultrasound-data-left-pulse-sensor-baseline-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [F1 (Dice)](<https://www.sota2.com/research/sota/semantic-segmentation-on-3d-ultrasound-data-left-pulse-sensor-baseline-test.md?metric=F1%20(Dice)>): Higher is better; unit: PERCENT.

- [mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-3d-ultrasound-data-left-pulse-sensor-baseline-test.md?metric=mIoU>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Recall | Result date | Report paper |
| --- | --- | --- | --- |
| 3D U-Net | 99.63 | Not recorded | 69705dd8e25ad2fa9d1ed651 |
| 3D U-Net | 62.69 | Not recorded | 69705dd8e25ad2fa9d1ed651 |

### 3D U-Net

Recall: 99.63. Result ID: 6997a7bf5698665ec4fddc15.

[Reporting paper](<https://www.sota2.com/research/paper/69705dd8e25ad2fa9d1ed651.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69705dd8e25ad2fa9d1ed651.md>)

Recorded evaluation configuration: {"Class":"Background","Total Voxels":"317,819,270"}. This record does not assert independent reproduction.

### 3D U-Net

Recall: 62.69. Result ID: 6997a7bf5698665ec4fddc16.

[Reporting paper](<https://www.sota2.com/research/paper/69705dd8e25ad2fa9d1ed651.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69705dd8e25ad2fa9d1ed651.md>)

Recorded evaluation configuration: {"Class":"Object","Total Voxels":"5,011,066"}. This record does not assert independent reproduction.

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