HAL (France)
open access
Deep learning applied to cancer prostate histology slides : diagnosis, prediction of bio-chemical recurrence and genetic mutations
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
- Multi-regional Multiparametric Deep Learning Radiomics for Diagnosis of Clinically Significant Prostate Cancer.#258390
- Breast cancer detection and classification via a robust deep learning approach.#382462
- Foundation models and deep learning for cancer drug response prediction: a framework for data, metrics, and validation.#209382
- Computational Biology and Chemistry with AI and ML#722624
- Deep Learning Signature for Predicting Occult Nodal Metastasis of Clinical N0 Lung Cancer#1047191
Record · ID 179409
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