Springer Nature OA
open access
CC BY 4.0
Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI
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
- Image quality improvement of liver ultrasound using unsupervised deep learning.#143135
- A deep learning based NeuroFusionNet approach for automated brain tumor diagnosis from MRI.#150302
- Investigation of clinical applicability of deep learning-based virtual contrast-enhanced MRI for nasopharyngeal carcinoma patients.#610367
- Breast cancer detection and classification via a robust deep learning approach.#382462
- A patient-aware benchmarking of CNN and transformer architectures for breast cancer histopathology classification.#221209
Record · ID 130679
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