Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?

David Dimitris Chlorogiannis; Georgios-Ioannis Verras; Vasiliki Tzelepi; Anargyros Chlorogiannis; Anastasios Apostolos; Konstantinos Kotis; Christos-Nikolaos Anagnostopoulos; Andreas Antzoulas; Michail Vailas; Dimitrios Schizas; Francesk Mulita

doi:10.5114/pg.2023.130337

Streszczenie

4/2023 vol. 18

Artykuł przeglądowy

Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?

David Dimitris Chlorogiannis ¹

,

Georgios-Ioannis Verras ²

,

Vasiliki Tzelepi ³

,

Anargyros Chlorogiannis ⁴

,

Anastasios Apostolos ⁵

,

Konstantinos Kotis ⁶

,

Christos-Nikolaos Anagnostopoulos ⁶

,

Andreas Antzoulas ²

,

Michail Vailas ⁷

,

Dimitrios Schizas ⁷

,

Francesk Mulita ²

Department of D/I Radiology, Patras General Hospital, Patras, Greece
Department of Surgery, General University Hospital of Patras, Patras, Greece
Department of Pathology, School of Medicine, University of Patras, Patras, Greece
Karolinska Institutet, Stockholm, Sweden
First Department of Cardiology, Hippokration Hospital, University of Athens, Athens, Greece
Intelligent Systems Lab, Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece
Upper Gastrointestinal and General Surgery Unit, First Department of Surgery, National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece

Gastroenterology Rev 2023; 18 (4): 353–367

DOI: https://doi.org/10.5114/pg.2023.130337

Data publikacji online: 2023/08/07

Pełna treść artykułu

AMA

Chlorogiannis D, Verras G, Tzelepi V, et al. Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?. Gastroenterology Review/Przegląd Gastroenterologiczny. 2023;18(4):353-367. doi:10.5114/pg.2023.130337.

APA

Chlorogiannis, D., Verras, G., Tzelepi, V., Chlorogiannis, A., Apostolos, A., & Kotis, K. et al. (2023). Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?. Gastroenterology Review/Przegląd Gastroenterologiczny, 18(4), 353-367. https://doi.org/10.5114/pg.2023.130337

Chicago

Chlorogiannis, David Dimitris, Georgios-Ioannis Verras, Vasiliki Tzelepi, Anargyros Chlorogiannis, Anastasios Apostolos, Konstantinos Kotis, and Christos-Nikolaos Anagnostopoulos et al. 2023. "Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?". Gastroenterology Review/Przegląd Gastroenterologiczny 18 (4): 353-367. doi:10.5114/pg.2023.130337.

Harvard

Chlorogiannis, D., Verras, G., Tzelepi, V., Chlorogiannis, A., Apostolos, A., Kotis, K., Anagnostopoulos, C., Antzoulas, A., Vailas, M., Schizas, D., and Mulita, F. (2023). Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?. Gastroenterology Review/Przegląd Gastroenterologiczny, 18(4), pp.353-367. https://doi.org/10.5114/pg.2023.130337

MLA

Chlorogiannis, David Dimitris et al. "Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?." Gastroenterology Review/Przegląd Gastroenterologiczny, vol. 18, no. 4, 2023, pp. 353-367. doi:10.5114/pg.2023.130337.

Vancouver

Chlorogiannis D, Verras G, Tzelepi V, Chlorogiannis A, Apostolos A, Kotis K et al. Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?. Gastroenterology Review/Przegląd Gastroenterologiczny. 2023;18(4):353-367. doi:10.5114/pg.2023.130337.

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