Comprehensive evaluation of 3D CNN and transformer architectures for 3D liver segmentation in medical imaging: A reproducible, externally validated benchmark built on a PyTorch Lightning CLI pipeline

Informatics in Medicine Unlocked · Published 2026-08-01 · DOI 10.1016/j.imu.2026.101798

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Authors (5)

Marcos Fdez-González, Lois Nodar-Corral, Xose R. Fdez-Vidal, Sergio Estevez-Fernandez, Enrique Comesaña

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Year

2026

Citation

Fdez-González, M., Nodar-Corral, L., Fdez-Vidal, X., et al. (2026). Comprehensive evaluation of 3D CNN and transformer architectures for 3D liver segmentation in medical imaging: A reproducible, externally validated benchmark built on a PyTorch Lightning CLI pipeline. Informatics in Medicine Unlocked. https://doi.org/10.1016/j.imu.2026.101798

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