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genpark-personal-agent-ocular-macular-ganglion-cell-complex-gcc-oct-skill

mcp
Guvenlik Denetimi
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  • License — License: Apache-2.0
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 10 GitHub stars
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SUMMARY

Personal agent skill for calculating SD-OCT macular Ganglion Cell Complex (GCC / GCIPL) average thickness, hemifield asymmetry, and focal/global loss volumes (FLV%/GLV%) for glaucoma detection.

README.md

Ocular Macular Ganglion Cell Complex (GCC / GCIPL) Skill

A production-grade, zero-mock personal agent skill engineered for spectral-domain optical coherence tomography (SD-OCT) macular segmentation, retinal ganglion cell soma/dendrite profiling, and early glaucoma screening.

Features

  • Deterministic Volumetric Analysis: Computes average macular thickness, vertical hemifield asymmetry, and $FLV% / GLV%$ loss volumes.
  • Pre-Perimetric Glaucoma Sentinel: Sensitive to the initial 30-50% loss of retinal ganglion cells that occurs before Humphrey visual field scotomas appear.
  • Pure Standard Library: Zero external dependencies; fully portable for edge and clinical AI deployment.

Clinical References

  • Tan, O., et al. (2009). Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. Ophthalmology, 116(12), 2305-2314.
  • Hood, D. C., et al. (2013). Detecting early glaucoma with optical coherence tomography: reconsidering the structure-function relationship. Progress in Retinal and Eye Research, 34, 1-19.

License

Apache-2.0

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