Deep-ZOMA: A Deep Learning-Based Approach for Automated Morphometric Analysis of Zebrafish Larvae Ocular Structures.

Deep-ZOMA achieved mean Dice coefficients of 0.96 on the internal set and 0.95 on the external set for primary ocular regions, with IoU values >0.90.

Automated measurements showed strong correlations and excellent agreement with expert measurements.

In the slc4a7 model, Deep-ZOMA accurately identified microphthalmia and rescue phenotypes consistent with expert annotations.