# EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

Source: [EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography](<https://www.sota2.com/research/paper/68fa6ad51e209131cea2aa35>)

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

Data updated: 2026-01-04T05:07:09.719Z

Authors: Jiancong Chen, Yingying Zhang, Jingyi Wang, Xiaoxue Zhou, Yihua He, Tong Zhang

Published: 2021-09-26T01:44:56.000Z

## Abstract

As an important scan plane, four chamber view is routinely performed in both second trimester perinatal screening and fetal echocardiographic examinations. The biometrics in this plane including cardio-thoracic ratio (CTR) and cardiac axis are usually measured by sonographers for diagnosing congenital heart disease. However, due to the commonly existing artifacts like acoustic shadowing, the traditional manual measurements not only suffer from the low efficiency, but also with the inconsistent results depending on the operators' skills. In this paper, we present an anchor-free ellipse detection network, namely EllipseNet, which detects the cardiac and thoracic regions in ellipse and automatically calculates the CTR and cardiac axis for fetal cardiac biometrics in 4-chamber view. In particular, we formulate the network that detects the center of each object as points and regresses the ellipses' parameters simultaneously. We define an intersection-over-union loss to further regulate the regression procedure. We evaluate EllipseNet on clinical echocardiogram dataset with more than 2000 subjects. Experimental results show that the proposed framework outperforms several state-of-the-art methods. Source code will be available at https://git.openi.org.cn/capepoint/EllipseNet .

## Recorded benchmark results

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.

- [Cardiac and thoracic ellipse detection on Clinical fetal echocardiogram (test)](<https://www.sota2.com/research/sota/cardiac-and-thoracic-ellipse-detection-on-clinical-fetal-echocardiogram-test.md>): Cardiac and thoracic ellipse detection; Clinical fetal echocardiogram (test); Dice (Thoracic): 94.3.

- [Object Detection on In-house TCT image dataset (test)](<https://www.sota2.com/research/sota/object-detection-on-in-house-tct-image-dataset-test.md>): Object Detection; In-house TCT image dataset (test); AP \[0.2:0.5\]: 44.3.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2109.12474>)

[PDF](<https://arxiv.org/pdf/2109.12474.pdf>)

[Implementation](<https://git.openi.org.cn/capepoint/EllipseNet>)
