Glaucoma Optic-Disc Cupping Classification (PWDR) L1-529

Medical ImagingOptic disc + cup segmentation from fundus with cup-to-disc-ratio glaucoma 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 - 049) : f u n d u s p h o t o g r a p h \to d i s c_{m} a s k, c u p_{m} a s k, v er t i c a l_{C} D R, I S N T_{r} i m_{t} hi c k n ess, R N F L_{d} e f ec t_{m} a s k . S t a g e 2 : se v er i t y = s t e p (f e a t u r es p er I C O 2016 + I S N T + D D L S) .

Glaucoma Optic-Disc Cupping (PWDR): wraps L1-049 with ICO 2016 Glaucoma Guidelines + Disc Damage Likelihood Scale grading rules. Stage 1 (analytical, from L1-049): segment optic disc and optic cup boundaries; measure vertical and horizontal CDR; assess neuroretinal rim morphology (ISNT pattern); detect peripapillary RNFL defects. Stage 2 (deterministic threshold): apply CDR + ISNT + DDLS rules. Difficulty tier delta = 3.

L-DAG

L.fundus_acquisition -> L.disc_cup_segmentation -> L.cdr_measurement -> L.isnt_rule_check -> L.rnfl_defect_detection -> L.glaucoma_severity_classifier -> int.spatial

L.fundus_acquisitionL.disc_cup_segmentationL.cdr_measurementL.isnt_rule_checkL.rnfl_defect_detectionL.glaucoma_severity_classifierint.spatial

Well-posedness W

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

Existence inherited from L1-049. Uniqueness conditional on adequate disc visibility (no media opacity). Stability dominated by physiologic_cupping_variant (large physiologic cups can mimic glaucoma) and tilted_disc_anatomy. Joint Hadamard well-posedness established by Bourne 2016 (ICO Glaucoma Guidelines), Spaeth 2002 (Disc Damage Likelihood Scale), Jonas 1989 (foundational neuroretinal rim morphometry), Li 2018 (deep learning glaucoma detection benchmark).

Solvability C

Solver class:: linear-operator + image-segmentation [disc + cup segmentation U-Net] + categorical-readout [ICO + ISNT classifier] | end-to-end deep neural [GlaucomaNet, EyeArt glaucoma]
Convergence rate q:: 2
Complexity:: O(H * W) for segmentation; O(1) for classification

Specs (0)

No L2 specs registered yet for this principle.