Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis.
Abstract
This dataset contains semantically annotated spectral data from multiple species and three different perfusion states (physiological, malperfused and ICG). The HSI cubes were acquired with the Tivita® Tissue camera system from Diaspective Vision. Each data cube has the dimensions (480, 640, 100) = (height, width, channels) with the 100 non-overlapping spectral channels being in the range from 500 nm to 1000 nm at a spectral resolution of around 5 nm. This repository contains the raw data, related metadata as well as the preprocessed files. The full dataset is deposited here: https://spectralverse-heidelberg.org/xeno-spectral/
Fields of Study & Subjects
Optical Imaging and Spectroscopy Techniques
Spectroscopy Techniques in Biomedical and Chemical Research
Remote-Sensing Image Classification
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 January 2026
- Language
- EN
- Document type
- Dataset