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Autor:
Mohamed Amgad, Lamees A Atteya, Hagar Hussein, Kareem Hosny Mohammed, Ehab Hafiz, Maha A T Elsebaie, Ahmed M Alhusseiny, Mohamed Atef AlMoslemany, Abdelmagid M Elmatboly, Philip A Pappalardo, Rokia Adel Sakr, Pooya Mobadersany, Ahmad Rachid, Anas M Saad, Ahmad M Alkashash, Inas A Ruhban, Anas Alrefai, Nada M Elgazar, Ali Abdulkarim, Abo-Alela Farag, Amira Etman, Ahmed G Elsaeed, Yahya Alagha, Yomna A Amer, Ahmed M Raslan, Menatalla K Nadim, Mai A T Elsebaie, Ahmed Ayad, Liza E Hanna, Ahmed Gadallah, Mohamed Elkady, Bradley Drumheller, David Jaye, David Manthey, David A Gutman, Habiba Elfandy, Lee A D Cooper
Publikováno v:
GigaScience. 11
Background Deep learning enables accurate high-resolution mapping of cells and tissue structures that can serve as the foundation of interpretable machine-learning models for computational pathology. However, generating adequate labels for these stru