ClinicalTrials.gov
public full text
Public Domain
Enhanced Outcome Prediction in Cutaneous Squamous Cell Carcinoma Using Deep-learning and Computational Histopathology
Evaluate a deep-learning model trained on computational histopathology for predicting outcomes in cutaneous squamous cell carcinoma
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
- Predicting Cancer in Pancreatic Cystic Lesions Through Artificial Intelligence#886879
- Dermatologist-level classification of skin cancer with deep neural networks#6461
- Deep learning and body composition model for predicting postoperative complications in colorectal cancer.#368046
- Development and Prospective Validation of a Pathology-Based Artificial Intelligence Model for Predicting the Time to Castration Resistance of Prostate Cancer#981736
- Deep Learning-Based Prediction System for Surgical Difficulty in Rectal Cancer Patients Using MRI Pelvimetry.#148243
Record · ID 993033
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive