Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
imageovarian-cancerpredation
This project intends to conduct a multicenter retrospective study to evaluate the satisfactory reduction of advanced ovarian cancer using PET-CT images, and explore the correlation between molecular biological characteristics and clinical characteristics of ovarian cancer through high-throughput sequencing genomics combined with radiomics.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 969365
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive