3D Organoid Segmentation Dataset for High-Content Screening and Biomedical Image Analysis

This dataset contains 3D organoid microscopy volumes and their corresponding ground-truth segmentation masks for biomedical image analysis and high-content screening research. The dataset was developed to support the training, validation, and benchmarking of automated organoid segmentation methods, including deep learning and computer vision approaches. The dataset consists of raw input volumes stored in the Images folder and their corresponding expert-annotated segmentation masks stored in the Masks folder. Each mask volume corresponds directly to an image volume with matching file identifiers. This resource can be used for 3D organoid segmentation, quantitative morphological analysis, phenotypic profiling, high-content screening, and the development of artificial intelligence methods for biomedical imaging.