Age-Related Macular Degeneration OCT Grading (PWDR) L1-530

Medical ImagingMacular layer + drusen + fluid recovery from OCT with AREDS / AMD-stage categorical readoutδ=3 · standardL_DAG = 5.6📋 Stub — not mineable

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Unclaimed Principle — open for contribution

This Principle is declared in the catalog but has no reference solver, no pinned dataset, and is not registered on-chain. There is no reward pool. Submitting a cert against this Principle today will record the cert for reproducibility but pay zero PWM.

To claim it as a Bounty #7 contribution: open a PR adding (1) a reference solver, (2) ≥1 dataset pinned to IPFS, (3) updates to the L3 manifest with dataset CIDs. After verifier-agent triple-review, the founders' 3-of-5 multisig signs PWMRegistry.register() and the Principle becomes mineable.

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Forward model E

S t a g e 1 (L 1 - 042) : O C T B - sc an \to l a y e r_{b} o u n d a r i es, d r u se n_{m} a s k, f l u i d_{m} a s k, G A_{m} a s k, P E D_{h} e i g h t . S t a g e 2 : A M D_{s} t a g e = s t e p (f e a t u r es p er A R E D S 2001 + B ec k man 2013) .

AMD OCT Grading (PWDR): wraps L1-042 OCT with AREDS 2001 + Beckman 2013 clinical classification rules. Stage 1 (analytical, from L1-042): from spectral-domain or swept-source OCT macular volume, segment retinal layers (10-layer RNFL/GCL/IPL/INL/OPL/ONL/ELM/IS-OS/RPE/BM); detect drusen (sub-RPE deposits); detect fluid pockets (intraretinal cysts, subretinal fluid, pigment epithelial detachment); segment geographic atrophy boundary. Stage 2 (deterministic threshold): apply AREDS / Beckman criteria for AMD staging. Difficulty tier delta = 3.

L-DAG

L.oct_acquisition -> L.layer_segmentation -> L.drusen_detection -> L.fluid_detection -> L.ga_segmentation -> L.amd_stage_classifier -> int.spatial

L.oct_acquisitionL.layer_segmentationL.drusen_detectionL.fluid_detectionL.ga_segmentationL.amd_stage_classifierint.spatial

Well-posedness W

Existence:: true
Uniqueness:: conditional
Stability:: conditional
κ:: 80

Existence inherited from L1-042. Uniqueness conditional on adequate OCT image quality (signal strength index > 6/10 typical). Stability dominated by patient_motion + shadowing_artifact. Joint Hadamard well-posedness established by AREDS Research Group 2001 (foundational), Beckman 2013 (consensus classification), Schmidt-Erfurth 2018 (OCT in AMD review), De Fauw 2018 (DeepMind referrable disease classification benchmark).

Solvability C

Solver class:: linear-operator + image-segmentation [layer + drusen + fluid + GA segmentation U-Net] + categorical-readout [AREDS / Beckman classifier] | end-to-end deep neural [DeepMind retinal AI, Heidelberg AnyDrusen]
Convergence rate q:: 2
Complexity:: O(H * W * Z) for segmentation; O(1) for classification

Specs (0)

No L2 specs registered yet for this principle.