NTHRYS › Internships › Ai Biofabrication › Deep Learning for Organoid Morphology Analysis

Instance Segmentation Networks for Individual Organoid Phenotype Classification

Ai Biofabrication

Deep Learning for Organoid Morphology Analysis

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Ai Biofabrication › Deep Learning for Organoid Morphology Analysis

Instance Segmentation Networks for Individual Organoid Phenotype Classification

This research develops Mask R-CNN and similar instance segmentation frameworks to identify, isolate, and classify individual organoids within heterogeneous biofabrication cultures simultaneously. The approach enables high-throughput phenotypic screening and discovery of morphological subtypes that correlate with underlying biological function and developmental stage.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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