Stroke Disease & Its Stages Using Deep Learning
An integrated clinical workspace for tabular stroke risk assessment, multi-class CT and MRI neuroimaging classification, explainable Grad-CAM localization, and longitudinal patient record management.
Diagnostic Modalities
Tabular & Imaging
Clinical risk screening combined with Brain CT and MRI classification.
Neuroimaging Classes
3 Subtypes
Differentiates Ischemic, Hemorrhagic, and Normal brain scans.
Interpretability
Grad-CAM
Spatial activation heatmaps highlight regions driving model decisions.
Clinical Audit
History & Q&A
SQLite record tracking with case-level clinical guideline lookup.
Core Modules
Diagnostic Capabilities
Numerical Prediction
Evaluates demographic and vascular risk factors using a calibrated machine learning pipeline.
Image Prediction
Processes verified Brain CT and MRI scans with automated anatomical validation and Grad-CAM heatmaps.
Patient History & Guidelines
Maintains a complete log of predictions with on-demand clinical protocol queries per patient record.
Analytics Report
Visualizes modality distribution and diagnostic class frequencies across saved cases.
Clinical Workflow
Standard Assessment Steps
Select Diagnostic Modality
Choose Numerical Prediction for clinical parameters or Image Prediction for Brain CT / MRI scans.
Run Classification & Grad-CAM
Inspect class probabilities and Grad-CAM visual localization immediately upon submission.
Review History & Consult Guidelines
Access saved patient evaluations in History to ask follow-up clinical protocol questions when needed.