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Nevertheless, little is known about the natural variation of the choroidal thickness in relation to origin and sex. A combination of deep learning and a deterministic computer vision algorithm was applied for automatic segmentation of foveolar optical coherence tomography images in cynomolgus monkeys. The main evaluation parameters were choroidal thickness and surface area directed from the deepest point on OCT images within the fovea, marked as the nulla with regard to sex and origin. Reference choroid landmarks were set underneath the nulla and at 500\u00a0\u00b5m intervals laterally up to a distance of 2000\u00a0\u00b5m nasally and temporally, complemented by a sub-analysis of the central bouquet of cones. 203 animals contributed 374 eyes for a reference choroid database. The overall average central choroidal thickness was 193\u00a0\u00b5m with a coefficient of variation of 7.8%, and the overall mean surface area of the central bouquet temporally was 19,335 \u00b5m<jats:sup>2<\/jats:sup> and nasally was 19,283 \u00b5m<jats:sup>2<\/jats:sup>. The choroidal thickness of the fovea appears relatively homogeneous between the sexes and the studied origins. However, considerable natural variation has been observed, which needs to be appreciated.<\/jats:p>","DOI":"10.1038\/s41598-022-17699-7","type":"journal-article","created":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T17:12:57Z","timestamp":1659460377000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Cynomolgus monkey\u2019s choroid reference database derived from hybrid deep learning optical coherence tomography segmentation"],"prefix":"10.1038","volume":"12","author":[{"given":"Peter M.","family":"Maloca","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Freichel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christof","family":"H\u00e4nsli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philippe","family":"Valmaggia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philipp L.","family":"M\u00fcller","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandrine","family":"Zweifel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christine","family":"Seeger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadja","family":"Inglin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hendrik P. 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