Diagnostic Engine v4.2
Advanced Neural Network architecture optimized for early-stage oncological detection. OncoShield AI utilizes a deep multi-scale feature extraction pipeline to ensure 99.8% specificity in clinical environments.
- Uptime99.99%
- Latency124ms
- Last TrainingOct 12, 2025
Neural Network Trainer
Connect directly to the Ufuq Tech backend via Server-Sent Events (SSE). Start a background task and watch the epochs stream in real-time.
Data Pipeline & Configuration
Dataset Management
Generate raw diagnostic datasets or trigger the imputation and scaling pipeline manually.
Hyperparameters
Configure the Neural Network training parameters. Changes apply to the next training cycle.
Neural Architecture
LAYERS
152
PARAMETERS
48.5M
OPTIMIZER
ADAMW
LOSS FN
FOCAL
Technical Specs
INFERENCE HARDWARE
NVIDIA A100 Tensor Core
INPUT RESOLUTION
2048 x 2048 (DICOM)
DATASETS
TCIA / curated internal
QUANTIZATION
INT8 / FP16 Mixed
Performance Metrics
ROC Curve Analysis
AUC: 0.994Confusion Matrix
Precision-Recall
Optimal threshold at 0.852 for maximum sensitivity.
Engine Version History
| Version | Release Date | Key Improvements | Status | Action |
|---|---|---|---|---|
| v4.2.0 (Stable) | Oct 12, 2025 | Enhanced feature fusion for MRI sequences; 5% reduction in latency. | PRODUCTION | |
| v4.1.5 | Aug 20, 2025 | Support for Whole Slide Imaging (WSI) tiles up to 1GB. | DEPRECATED | |
| v4.0.0 | May 15, 2025 | Major architecture shift to Vision Transformers (ViT). | ARCHIVED |