Yang, N.;                     Rongione, C.;                     Jacquemart, A.-L.;                     Draye, X.;                     Vleeschouwer, C.D.    
        On the Importance of Diversity When Training Deep Learning Segmentation Models with Error-Prone Pseudo-Labels. Appl. Sci. 2024, 14, 5156.
    https://doi.org/10.3390/app14125156
    AMA Style
    
                                Yang N,                                 Rongione C,                                 Jacquemart A-L,                                 Draye X,                                 Vleeschouwer CD.        
                On the Importance of Diversity When Training Deep Learning Segmentation Models with Error-Prone Pseudo-Labels. Applied Sciences. 2024; 14(12):5156.
        https://doi.org/10.3390/app14125156
    
    Chicago/Turabian Style
    
                                Yang, Nana,                                 Charles Rongione,                                 Anne-Laure Jacquemart,                                 Xavier Draye,                                 and Christophe De Vleeschouwer.        
                2024. "On the Importance of Diversity When Training Deep Learning Segmentation Models with Error-Prone Pseudo-Labels" Applied Sciences 14, no. 12: 5156.
        https://doi.org/10.3390/app14125156
    
    APA Style
    
                                Yang, N.,                                 Rongione, C.,                                 Jacquemart, A.-L.,                                 Draye, X.,                                 & Vleeschouwer, C. D.        
        
        (2024). On the Importance of Diversity When Training Deep Learning Segmentation Models with Error-Prone Pseudo-Labels. Applied Sciences, 14(12), 5156.
        https://doi.org/10.3390/app14125156