Order Article Reprints

Qjidaa M, Benfares A, El Azami El Hassani MA, Benkabbou A, Souadka A, Majbar A, El Moatassim Z, Oumlaz M, Lahnaoui O, Mouhcine R, et al. High-Precision, Automatic, and Fast Segmentation Method of Hepatic Vessels and Liver Tumors from CT Images Using a Fusion Decision-Based Stacking Deep Learning Model. BioMedInformatics. 2025; 5(3):53. https://doi.org/10.3390/biomedinformatics5030053

Qjidaa, Mamoun, Anass Benfares, Mohammed Amine El Azami El Hassani, Amine Benkabbou, Amine Souadka, Anass Majbar, Zakaria El Moatassim, Maroua Oumlaz, Oumayma Lahnaoui, Raouf Mouhcine, and et al. 2025. "High-Precision, Automatic, and Fast Segmentation Method of Hepatic Vessels and Liver Tumors from CT Images Using a Fusion Decision-Based Stacking Deep Learning Model" BioMedInformatics 5, no. 3: 53. https://doi.org/10.3390/biomedinformatics5030053

Qjidaa, M., Benfares, A., El Azami El Hassani, M. A., Benkabbou, A., Souadka, A., Majbar, A., El Moatassim, Z., Oumlaz, M., Lahnaoui, O., Mouhcine, R., Lakhssassi, A., & Cherkaoui, A. (2025). High-Precision, Automatic, and Fast Segmentation Method of Hepatic Vessels and Liver Tumors from CT Images Using a Fusion Decision-Based Stacking Deep Learning Model. BioMedInformatics, 5(3), 53. https://doi.org/10.3390/biomedinformatics5030053