NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer.
Mohamed AmgadLamees A AtteyaHagar HusseinKareem Hosny MohammedEhab O A HafizMaha A T ElsebaieAhmed M AlhusseinyMohamed Atef AlMoslemanyAbdelmagid M ElmatbolyPhilip A PappalardoRokia Adel SakrPooya MobadersanyAhmad RachidAnas M SaadAhmad Mahmoud AlkashashInas A RuhbanAnas AlrefaiNada M ElgazarAli AbdulkarimAbo-Alela FaragAmira EtmanAhmed G ElsaeedYahya AlaghaYomna A AmerAhmed M RaslanMenatalla K NadimMai A T ElsebaieAhmed AyadLiza E HannaAhmed GadallahMohamed ElkadyBradley DrumhellerDavid L JayeDavid MantheyDavid A GutmanHabiba ElfandyLee A D CooperPublished in: GigaScience (2022)
This study is the most extensive systematic exploration of the large-scale use of wisdom-of-the-crowd approaches to generate data for computational pathology applications.