Angeliki Theodosi, Sotiris Ouzounis, Spiros Kostopoulos, Dimitris Glotsos, Ioannis Kalatzis, Vassiliki Tzelepi, Panagiota Ravazoula, Pantelis Asvestas, Dionisis A. Cavouras, George Sakellaropoulos. 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. Mach. Vis. Appl., 32(3):58, 2021. [doi]
@article{TheodosiOKGKTRA21,
title = {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},
author = {Angeliki Theodosi and Sotiris Ouzounis and Spiros Kostopoulos and Dimitris Glotsos and Ioannis Kalatzis and Vassiliki Tzelepi and Panagiota Ravazoula and Pantelis Asvestas and Dionisis A. Cavouras and George Sakellaropoulos},
year = {2021},
doi = {10.1007/s00138-021-01184-8},
url = {https://doi.org/10.1007/s00138-021-01184-8},
researchr = {https://researchr.org/publication/TheodosiOKGKTRA21},
cites = {0},
citedby = {0},
journal = {Mach. Vis. Appl.},
volume = {32},
number = {3},
pages = {58},
}