annotations.csv
Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images
About Dataset
This is the dataset used in "Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images"
This work was supported by the ATLAS project. This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813782. This work was also partially supported by French State Funds managed by the Agence Nationale de la Recherche (ANR) through the Investissements d'Avenir Program under Grant ANR-11-LABX-0004 (Labex CAMI) and Grant ANR-10-IAHU-02 (IHU-Strasbourg).
Cite:
Lazo, Jorge F., Rosa, Benoit, Catellani, Michele, Fontana, Matteo, Mistretta, Francesco A., Musi, Gennaro, de Cobelli, Ottavio, de Mathelin, Michel, & De Momi, Elena. (2023). Endoscopic Bladder Tissue Classification Dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7741476
Dataordbok
Tilleggsinformasjon
| Felt | Verdi |
|---|---|
| Data sist oppdatert | 9. oktober 2024 |
| Metadata sist oppdatert | 9. oktober 2024 |
| Opprettet | 9. oktober 2024 |
| Format | CSV |
| Lisens | Creative Commons Attribution |
| Datastore active | True |
| Has views | True |
| Id | e71f6489-224f-41a9-b463-35e6f3428508 |
| Mimetype | text/csv |
| Package id | 0f5264a8-88f6-4dd7-ae54-dfe4848a3f3b |
| Position | 0 |
| Size | 73,7 KiB |
| State | active |
| Url type | upload |