Bolocan, V.-O.;                     Nicu-Canareica, O.;                     Mitoi, A.;                     Costache, M.G.;                     Manolescu, L.S.C.;                     Medar, C.;                     Jinga, V.    
        Deep Learning for Adrenal Gland Segmentation: Comparing Accuracy and Efficiency Across Three Convolutional Neural Network Models. Appl. Sci. 2025, 15, 5388.
    https://doi.org/10.3390/app15105388
    AMA Style
    
                                Bolocan V-O,                                 Nicu-Canareica O,                                 Mitoi A,                                 Costache MG,                                 Manolescu LSC,                                 Medar C,                                 Jinga V.        
                Deep Learning for Adrenal Gland Segmentation: Comparing Accuracy and Efficiency Across Three Convolutional Neural Network Models. Applied Sciences. 2025; 15(10):5388.
        https://doi.org/10.3390/app15105388
    
    Chicago/Turabian Style
    
                                Bolocan, Vlad-Octavian,                                 Oana Nicu-Canareica,                                 Alexandru Mitoi,                                 Maria Glencora Costache,                                 Loredana Sabina Cornelia Manolescu,                                 Cosmin Medar,                                 and Viorel Jinga.        
                2025. "Deep Learning for Adrenal Gland Segmentation: Comparing Accuracy and Efficiency Across Three Convolutional Neural Network Models" Applied Sciences 15, no. 10: 5388.
        https://doi.org/10.3390/app15105388
    
    APA Style
    
                                Bolocan, V.-O.,                                 Nicu-Canareica, O.,                                 Mitoi, A.,                                 Costache, M. G.,                                 Manolescu, L. S. C.,                                 Medar, C.,                                 & Jinga, V.        
        
        (2025). Deep Learning for Adrenal Gland Segmentation: Comparing Accuracy and Efficiency Across Three Convolutional Neural Network Models. Applied Sciences, 15(10), 5388.
        https://doi.org/10.3390/app15105388