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"Structured crowdsourcing enables convolutional segmentation of histology ..."

Mohamed Amgad et al. (2019)

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DOI: 10.1093/BIOINFORMATICS/BTZ083

access: open

type: Journal Article

metadata version: 2023-09-30

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  - journals/bioinformatics/AmgadEHAEESSISA19
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  - https://dblp.org/rec/journals/bioinformatics/AmgadEHAEESSISA19
Mohamed Amgad, Habiba Elfandy, Hagar Hussein, Lamees A. Atteya, Mai A. T. Elsebaie, Lamia S. Abo Elnasr, Rokia Adel Sakr, Hazem S. E. Salem, Ahmed F. Ismail, Anas M. Saad, Joumana Ahmed, Maha A. T. Elsebaie, Mustafijur Rahman, Inas A. Ruhban, Nada M. Elgazar, Yahya Alagha, Mohamed H. Osman, Ahmed M. Alhusseiny, Mariam M. Khalaf, Abo-Alela F. Younes, Ali Abdulkarim, Duaa M. Younes, Ahmed M. Gadallah, Ahmad M. Elkashash, Salma Y. Fala, Basma M. Zaki, Jonathan D. Beezley, Deepak Roy Chittajallu, David Manthey, David A. Gutman, Lee A. D. Cooper:
Structured crowdsourcing enables convolutional segmentation of histology images. Bioinform. 35(18): 3461-3467 (2019)

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