Deep learning based on ultrasound images to predict platinum resistance in patients with epithelial ovarian cancer.

Journal: Biomedical engineering online

PMID: 40361149

Abstract

BACKGROUND: The study aimed at developing and validating a deep learning (DL) model based on the ultrasound imaging for predicting the platinum resistance of patients with epithelial ovarian cancer (EOC).

Authors

Chang Su

Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut.
Kuo Miao

Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Liwei Zhang
Xiaoqiu Dong

Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. Electronic address: Dongxq0451@163.com.

Keywords

Adult Aged Carcinoma, Ovarian Epithelial Deep Learning Drug Resistance, Neoplasm Female Humans Image Processing, Computer-Assisted Middle Aged Ovarian Neoplasms Platinum Retrospective Studies ROC Curve Ultrasonography

External Resources

View on PubMed Access via DOI PubMed (40361149)

Deep learning based on ultrasound images to predict platinum resistance in patients with epithelial ovarian cancer.

Abstract

Authors

Keywords

External Resources

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