Showing results for radiology Vector Vector
GitHub Repo
https://github.com/SlawomirWisniewski73/VectorDiff
SlawomirWisniewski73/VectorDiff
VectorDiff is an innovative vector animation format designed specifically for medical and AI-generated applications. The system optimizes resource usage by tracking and saving only the changes between animation frames, making it ideal for complex biomedical visualizations.
GitHub Repo
https://github.com/LEOSOLAR8/dicom-viewer-image-analysis
LEOSOLAR8/dicom-viewer-image-analysis
Comprehensive medical imaging management system with a DICOM viewer, HU conversion, 28 image filters, and dual database architecture (Qdrant + SQLite). Supports radiology report generation, patient data management, and vector similarity search.
GitHub Repo
https://github.com/oaphyapran365/VisionMedRAG
oaphyapran365/VisionMedRAG
VisionMedRAG is a fully local multimodal RAG system for medical QA over Chest X-rays, radiology reports, and scientific PDFs. Using BM25, CLIP vectors, RRF fusion, and a BGE reranker with Qwen2-VL generation, it delivers accurate, image-aware retrieval and reasoning through FastAPI or Gradio—no external APIs needed.
GitHub Repo
https://github.com/pryplotsky/Mortality-risk-prediction
pryplotsky/Mortality-risk-prediction
All-cause in-hospital mortality using machine learning methods — Logistic Regression (LR), Gradient Boosting (XGB), and Feedforward Neural Networks (FNN). The models leverage clinical characteristics and radiology reports, which are transformed into numerical feature vectors using BERT
GitHub Repo
https://github.com/Krixna-Kant/radiology-trust
Krixna-Kant/radiology-trust
A privacy-preserving AI system for secure radiology case retrieval and diagnostic support using CyborgDB encrypted vector search
GitHub Repo
https://github.com/arkidbera/Fission-product-release
arkidbera/Fission-product-release
Fission product release has been a matter of study since many years. Its importance lies in the fact that the release of radionuclides affect radiological impact due to a postulated accident scenario. The fission product gases released mainly consist of Xenon and Krypton, due to their low boiling point temperature and insolubility in the fuel matrix. These gases are released from fuel pellets due to the rupture of cladding to the coolant in the primary heat transport system. No standard method for calculation of fission product release gases has yet been found, due to the involvement of numerous factors, leading to variance in results. In our project, we have attempted to do the same, by creating a fission release model using various relations and carrying out certain computations on MATLAB, which includes vectorized implementations, iterative computations and plotting various curves to visualize the results obtained. The aim of our model is to find the fractional release of fission product gases with respect to fuel temperature, which depends on linear heat rating (i.e. power extracted per unit length of fuel pin) and burnup of the fuel. Our model also finds certain curves representing the behaviour of fractional release with respect to burnup, by varying grain radius and Diffusion Coefficient. The model has further been used as a tool for certain time varying analyses, where we have simulated a condition where the average temperature of the fuel pellets is changing with time, and thus, found the value of release fraction for those time instants. Finally, certain statistical analyses have been carried out, which include input parameter uncertainty, model parameter uncertainty and time-varying error analysis. We have used algorithms like Box-Muller transform in our study. Also, tolerance bands have been derived using confidence interval values for time-varying error analysis.
GitHub Repo
https://github.com/a-ram-1/cbb-750-final
a-ram-1/cbb-750-final
Classifying cardiomyopathy v. heart failure for radiology patients with and without vectorized text data
GitHub Repo
https://github.com/bleachedraptor/radiology-rag
bleachedraptor/radiology-rag
RAG system for radiology articles with Gemini 3 Pro, auto-scraping, and 350K+ vectorized papers
GitHub Repo
https://github.com/Deep-Mind-Hive/3DImaging-Medical_Lidar_Seismic_Satellite_3DScanning