Nikoloulopoulou, N.; Perikos, I.; Daramouskas, I.; Makris, C.; Treigys, P.; Hatzilygeroudis, I.
A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation. Appl. Sci. 2023, 13, 3255.
https://doi.org/10.3390/app13053255
AMA Style
Nikoloulopoulou N, Perikos I, Daramouskas I, Makris C, Treigys P, Hatzilygeroudis I.
A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation. Applied Sciences. 2023; 13(5):3255.
https://doi.org/10.3390/app13053255
Chicago/Turabian Style
Nikoloulopoulou, Natalia, Isidoros Perikos, Ioannis Daramouskas, Christos Makris, Povilas Treigys, and Ioannis Hatzilygeroudis.
2023. "A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation" Applied Sciences 13, no. 5: 3255.
https://doi.org/10.3390/app13053255
APA Style
Nikoloulopoulou, N., Perikos, I., Daramouskas, I., Makris, C., Treigys, P., & Hatzilygeroudis, I.
(2023). A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation. Applied Sciences, 13(5), 3255.
https://doi.org/10.3390/app13053255
