MIP-012 RADIOGRAPHY DIAGNOSTIC RECORD: RSA EVALUATION RUN

================================================================================ CLINICAL PERFORMANCE VERIFICATION RECORD ================================================================================ Platform Sub-Layer: Recursive Search Algorithm (RSA) Tree Decomposition Input Parameters: Dual 1024x1024 Simulated Radiographs (Anatomy Clutter Model) Variance Target Split Bounds: Hardcoded At 0.02 Minimum Limit ================================================================================

I. Pathology Detection & Spatial Aperture Metrics

Operational data tracking showing how the spatial aperture narrows dynamically around localized abnormal structures without causing information aggregation blur across uniform background fields.

Radiography Data Instance ID	Total Tree Nodes	Macro-Enclosures (128x128)	Micro-Enclosures (16x16 / 8x8)	Isolated Pathology Sectors	Contingent Boundary Audit Check
Simulated X-Ray Scan #1 (Deep Centered Abnormality)	1,432	980	452	184	PASSED (100% Boundary Lock)
Simulated X-Ray Scan #2 (Displaced Nodular Abnormality)	1,216	894	322	112	PASSED (100% Boundary Lock)

II. Core Algorithmic Architecture Steps

Phase 1 (Stabilization): The Bilateral Filter + Multi-Scale Gaussian Matched Filter Bank (BF+MSGFB) structures the baseline canvas, generating spatial projection energy curves to outline regional focus points inside bone/tissue clutter.

Phase 2 (Convergence): The RSA takes the focus parameters and executes recursive tree segmentation. Large uniform tissues are bypassed to suppress noise replication, while fine-scale pathology boundaries trigger micro-enclosures to isolate sharp geometric transitions.

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