Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
561-05-006 ISMRM Abstract

CervFiT-AG3DNet: Cervical Cancer Segmentation from Time-series Dynamic Contrast Enhanced MRI using Deep Learning

Primary: Analysis Methods - Segmentation and Detection
Secondary: Analysis Methods - Classification and Prediction
561-05-006 · Advanced MR Techniques in Cervical, Genital, Placental, and Fetal Disorders · Wednesday, 13 May, 4:00 PM–4:55 PM · Digital Posters Row B
Keywords: Segmentation DCE-MRI Cervical cancer Deep Learning Segmentation 3D U-Net
Accepted
Melikamu Liyih Sinishaw1,2, Baijie Wang3, Qian Yang3, wei cui4, Ye Li1,2, Zhanli Hu2,5, Xin Liu1,2, Dong Liang2,5, Hairong Zheng1,2, Zhou Liu 3, Na Zhang1,2
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
2State Key Laboratory of Biomedical Imaging Science and System, Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, China
3Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, shenzhen, China
4MRI Research, GE Healthcare, Beijing, China
5Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Presenting Author: Zhou Liu

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Bray, F., Laversanne, M., Sung, H., Ferlay, J., Siegel, R.L., Soerjomataram, I. and Jemal, A., 2024. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians, 74(3), pp.229-263.
2. Raju, K., Kukkamgai, H.M. and Kamarthi, P.P., 2025. Evolution of Cervical Cancer Screening Techniques: A Concept of Translation Medicine. Indian Journal of Surgical Oncology, pp.1-12.
3. O ̈ . Çiçek, A. Abdulkadir, S.S. Lienkamp, T. Brox, O. Ronneberger, 3D U-Net: learning dense volumetric segmentation from sparse annotation. ” in International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI), 2016, pp. 424–432.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/561-05-006