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Liver Tumor Segmentation with Deep Learning: A Comparative Analysis of CNN-, Transformer-, and YOLO-Based Models on the ATLAS MRI — Europe PMC PMID:41827926
- Source
- Europe PMC (en)
- Original
- https://europepmc.org/article/MED/41827926
- DOI
- 10.3390/diagnostics16050649
- License (as archived)
- solo-consultazione
- Archived
- 2026-10-08T10:49:41.907Z
- SHA-256 of the archived text
2b9c4e9a432ae8cbc95a7f5a34cfa9cc6d2c358fa804149550b85053715cd572- Stable URL of this page
https://metraipolis.com/documento/dc_fdbe0e2a4e34
How to cite
Liver Tumor Segmentation with Deep Learning: A Comparative Analysis of CNN-, Transformer-, and YOLO-Based Models on the ATLAS MRI — Europe PMC PMID:41827926 — Europe PMC (en), https://europepmc.org/article/MED/41827926 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_fdbe0e2a4e34 (Metraipolis archive dc_fdbe0e2a4e34, sha256 2b9c4e9a432ae8cbc95a7f5a34cfa9cc6d2c358fa804149550b85053715cd572)
BibTeX
@misc{dcfdbe0e2a4e34,
title = {Liver Tumor Segmentation with Deep Learning: A Comparative Analysis of CNN-, Transformer-, and YOLO-Based Models on the ATLAS MRI — Europe PMC PMID:41827926},
howpublished = {Europe PMC (en)},
url = {https://europepmc.org/article/MED/41827926},
note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_fdbe0e2a4e34; sha256 2b9c4e9a432ae8cbc95a7f5a34cfa9cc6d2c358fa804149550b85053715cd572},
year = {2026}
}Archived text
The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41827926. Agents can read the archived copy with the MCP tool read_document.