PASO: Porcine Anterior Segment OCT Dataset

If you find this dataset useful, please cite the peer-reviewed paper, presented at the 12th OMIA Workshop at MICCAI 2025: Nienhaus, J, Peter, R.. et al. (2026). PASO: A Multipurpose Porcine Anterior Segment Dataset Featuring Spectral and Reconstructed OCT Volume Scans and Surgical Instrument Segmentation Masks. In: Fang, H., Wang, M., Li, H., Chen, H., Bogunović, H., Lee, C.S. (eds) Ophthalmic Medical Image Analysis. OMIA 2025. Lecture Notes in Computer Science, vol 16209. Springer, Cham. https://doi.org/10.1007/978-3-032-10351-2_13 The Porcine Anterior Segment OCT (PASO) dataset contains 141 raw and reconstructed (averaged) volume scans of ex-vivo porcine eyes, imaged with a microscope-integrated SS-OCT prototype, together with Python code for data loading, reconstruction and adjustable averaging. For a subset of 1020 scans from 19 porcine eye volumes, the dataset further offers annotations for Surgical Instrument Segmentation (SIS)