NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer

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 FaragAmira 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*

*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Fingerprint

Dive into the research topics of 'NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer'. Together they form a unique fingerprint.

Keyphrases

Biochemistry, Genetics and Molecular Biology

Computer Science