TGMS-UNet: A dual-branch segmentation network for ultrasound endometrium based on sequence guidance and multi-scale feature correction - Scorecard - MDSpire
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TGMS-UNet: A Dual-Branch Network for Endometrial Segmentation in Ultrasound Utilizing Sequence Guidance and Multi-Scale Feature Adjustment

  • By

  • Qiao Wei

  • Xiaowen Liang

  • Yanfen Zhang

  • Yan Lin

  • Zhili Guo

  • Qing Zhang

  • Kezhen Wang

  • Zhang Xiao

  • Jie Lan

  • Linyuan Jin

  • Nian Hu

  • Hong Yu

  • Yaocheng Xiao

  • Zhiyi Chen

  • July 10, 2026

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Clinical Scorecard: TGMS-UNet: A Dual-Branch Network for Endometrial Segmentation in Ultrasound Utilizing Sequence Guidance and Multi-Scale Feature Adjustment

At a Glance

CategoryDetail
ConditionEndometrial Segmentation
Key MechanismsSequence-guided dual-branch segmentation network incorporating geometric contour encoding and feature correction.
Target PopulationWomen undergoing transvaginal ultrasound for reproductive health assessment.
Care SettingTransvaginal ultrasound imaging in clinical settings.

Key Highlights

  • TGMS-UNet improves segmentation accuracy in ambiguous ultrasound images.
  • Incorporates clinical reasoning through distance-angle-based contour features.
  • Addresses multi-scale feature misalignment with adaptive fusion mechanisms.

Guideline-Based Recommendations

Diagnosis

  • Utilize transvaginal ultrasound for assessing endometrial conditions.

Management

  • Implement automated segmentation to enhance objectivity in endometrial receptivity assessment.

Monitoring & Follow-up

  • Regularly evaluate endometrial thickness and morphology through ultrasound imaging.

Risks

  • Consider inherent imaging limitations such as speckle noise and boundary variability.

Patient & Prescribing Data

Women experiencing infertility or other endometrial-related conditions.

Accurate segmentation can guide optimal timing for assisted reproductive procedures.

Clinical Best Practices

  • Employ automated segmentation to reduce subjectivity in endometrial evaluation.
  • Integrate clinical prior knowledge into imaging analysis for improved outcomes.

Related Resources & Content

Original Source(s)

TGMS-UNet: A dual-branch segmentation network for ultrasound endometrium based on sequence guidance and multi-scale feature correction

  • by Qiao Wei, Xiaowen Liang, Yanfen Zhang, Yan Lin, Zhili Guo, Qing Zhang, Kezhen Wang, Zhang Xiao, Jie Lan, Linyuan Jin, Nian Hu, Hong Yu, Yaocheng Xiao, Zhiyi Chen

  • July 10, 2026

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