Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids

Development and Validation of Growth Prediction Model for Ovarian Cancer Organoids Based on Bright Field Image and Deep Learning

The present study aims to collect early bright field image of patient-derived organoids with ovarian cancer. By leveraging artificial intelligence, this study will seek to construct and refine algorithms that able to predict growth of ovarian cancer organoids.

Inclusion Criteria:

• Patients must have histologically confirmed diagnosis of epithelial ovarian cancer
• Patients received biopsy or puncture to obtain tumor tissues or malignant effusion
• Patients voluntarily participated in the study and signed informed consent.

Exclusion Criteria:

• Non-epithelial ovarian cancer
• No sufficient amount of tumor tissues or malignant effusion for organoids establishment.