Correction: Deep learning accurately and reliably segments pelvic vascular structure in CT scans of gynecologic cancer patients - Scorecard - MDSpire
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Correction: Accurate and Reliable Segmentation of Pelvic Vascular Structures in CT Imaging of Gynecologic Cancer Patients Using Deep Learning Techniques

  • By

  • Hyeonseung Kim

  • Min Jin Jeong

  • Kyoyeong Koo

  • Youn Jin Choi

  • Eun Seo Heo

  • Woohyun Nam

  • Sangyun Kang

  • U-Young Lee

  • Yi-Suk Kim

  • Keun Ho Lee

  • Chan-Ung Park

  • August 24, 2026

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Clinical Scorecard: Correction: Accurate and Reliable Segmentation of Pelvic Vascular Structures in CT Imaging of Gynecologic Cancer Patients Using Deep Learning Techniques

At a Glance

CategoryDetail
ConditionPelvic Vascular Structures Imaging
Key MechanismsDeep Learning Techniques
Target PopulationGynecologic Cancer Patients
Care SettingCT Imaging

Key Highlights

  • Correction on funding statement for the study
  • Accurate segmentation of pelvic vascular structures
  • Utilization of deep learning for imaging analysis

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

        Risks

          Patient & Prescribing Data

          Gynecologic Cancer Patients

          Clinical Best Practices

            Related Resources & Content

            Original Source(s)

            Correction: Deep learning accurately and reliably segments pelvic vascular structure in CT scans of gynecologic cancer patients

            • by Hyeonseung Kim, Min Jin Jeong, Kyoyeong Koo, Youn Jin Choi, Eun Seo Heo, Woohyun Nam, Sangyun Kang, U-Young Lee, Yi-Suk Kim, Keun Ho Lee, Chan-Ung Park

            • August 24, 2026

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