APA (7th ed.) Citation

Theodosi, A., Ouzounis, S., Kostopoulos, S., Glotsos, D., Kalatzis, I., Tzelepi, V., . . . Sakellaropoulos, G. (2021). Design of a hybrid deep learning system for discriminating between low- and high-grade colorectal cancer lesions, using microscopy images of IHC stained for AIB1 expression biopsy material. Machine Vision & Applications, 32(3), 1. https://doi.org/10.1007/s00138-021-01184-8

Chicago Style (17th ed.) Citation

Theodosi, Angeliki, et al. "Design of a Hybrid Deep Learning System for Discriminating Between Low- and High-grade Colorectal Cancer Lesions, Using Microscopy Images of IHC Stained for AIB1 Expression Biopsy Material." Machine Vision & Applications 32, no. 3 (2021): 1. https://doi.org/10.1007/s00138-021-01184-8.

MLA (9th ed.) Citation

Theodosi, Angeliki, et al. "Design of a Hybrid Deep Learning System for Discriminating Between Low- and High-grade Colorectal Cancer Lesions, Using Microscopy Images of IHC Stained for AIB1 Expression Biopsy Material." Machine Vision & Applications, vol. 32, no. 3, 2021, p. 1, https://doi.org/10.1007/s00138-021-01184-8.