arXiv (OAI Expanded)
open access
CirrGuide: A Deep Cascaded Framework for Liver Cirrhosis Segmentation and Severity Classification from T2-Weighted MRI
We present CirrGuide, a deep cascaded framework for cirrhotic liver segmentation and severity classification. Cirrhosis causes progressive structural changes in the liver and can lead to serious clinical complications, making severity assessment important for disease monitoring and treatment plannin
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
- Radiomics Analysis of Focal Liver Lesions Based on Contrast-Enhanced Ultrasound Imaging#1044729
- ResNet50-SCPA-net for liver cirrhosis stage classification using MRI images.#678375
- Ultrasound-Based Prediction of Cirrhosis Decompensation Using Large-Scale Computer Vision Models#927659
- 4D-Flow MRI Assessment of Portal Hypertension and TIPS Outcomes in Cirrhosis#377324
- Non-invasive Biomarkers of Metabolic Liver Disease (NIMBLE) Study 1.2#1072352
Record · ID 1083492
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