HAL (France)
open access
A CT-based deep learning model to differentiate between benign and malignant adrenal lesions
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
- A deep learning based NeuroFusionNet approach for automated brain tumor diagnosis from MRI.#150302
- A comprehensive model with dual plane ultrasound based deep learning radiomics to distinguish parotid pleomorphic adenoma from Warthin tumor.#439125
- Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning#1125468
- Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions#1118461
- Explainable deep learning for early diagnosis of chronic kidney disease from CT images in Bangladeshi patients.#182446
Record · ID 262277
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