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

To correct the funding statement of the original article regarding the support received for the study.

Key Findings:
  • The correct funder for the study is the National Cancer Center (NCC).
  • The funding statement is updated to reflect support from the National R&D Program for Cancer Control, financed by the Republic of Korea’s Ministry of Health & Welfare.
Interpretation:

The original article has been updated to provide accurate funding information.

Conclusion:

The correction ensures proper attribution of funding for the research.

Sources:

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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