Body location embedded 3D U-Net (BLE-U-Net) for ovarian cancer ascites segmentation on CT scans-Reference-Cited by-同舟云学术

Body location embedded 3D U-Net (BLE-U-Net) for ovarian cancer ascites segmentation on CT scans

Published:2023-03-06 Issue: Volume: Page:
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Container-title:18th International Symposium on Medical Information Processing and Analysis
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Author:

Nag Manas K.,Liu Jianfei,Liu Liangchen,Shin Seungyeon,lee Sungon,Lee Jung-Mih,Summers Ronald M.

Publisher

SPIE

Reference15 articles.

1. Worldwide incidence and mortality of ovarian cancer and human development index (hdi): Globocan sources and methods 2018;Khazaei;Journal of preventive medicine and hygiene,2021

2. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012

3. The untapped potential of ascites in ovarian cancer research and treatment

4. Impact of ascites volume on clinical outcomes in ovarian cancer: A cohort study

5. A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation

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