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Related Experiment Video

Updated: Apr 29, 2026

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Published on: November 2, 2014

[A Transformer-based model using laboratory indicators efficiently differentiates ovarian cancer].

Shunqian Tan¹, Li Zhuo¹, Min Zeng¹

¹School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University

|April 27, 2026

Summary

This summary is machine-generated.

A Transformer-based deep learning model shows high accuracy in diagnosing ovarian cancer using laboratory tests. This advanced model achieved an AUC of 0.931, offering potential clinical diagnostic assistance.

Area of Science:

Oncology
Medical Informatics
Artificial Intelligence

Keywords:

Transformer deep learning embedded vector laboratory test indicators ovarian cancer

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