NCBI PubMed Central
open access
Performance of deep learning-based segmentation of soft tissue sarcoma by MRI sequence, tumor type and location.
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
- Brain Tumor Classification using Machine Learning and Deep Learning Algorithms: A Comparison: Classifying brain MRI images on thebasis of location of tumor and comparingthe various Machine Learning and Deep LEARNING models used to predict best performance.#489439
- A hybrid deep learning framework based on VGG19 and U-Net for accurate brain tumor segmentation in MRI images.#362193
- Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI#130679
- Pediatric pancreas segmentation from MRI scans with deep learning.#251309
- MRI-based Computer Aided Diagnosis Software (V1) for Glioma#1009282
Record · ID 224806
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