NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation.
Mohamed AmgadLamees A. AtteyaHagar HusseinKareem Hosny MohammedEhab HafizMaha A. T. ElsebaieAhmed M. AlhusseinyMohamed Atef AlMoslemanyAbdelmagid M. ElmatbolyPhilip A. PappalardoRokia Adel SakrPooya MobadersanyAhmad RachidAnas M. SaadAhmad M. 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 M. GadallahMohamed ElkadyBradley DrumhellerDavid JayeDavid MantheyDavid A. GutmanHabiba ElfandyLee A. D. CooperPublished in: CoRR (2021)
Keyphrases
- deep learning
- restricted boltzmann machine
- unsupervised learning
- machine learning
- image classification
- decision trees
- image segmentation
- pattern recognition
- level set
- unsupervised feature learning
- segmentation algorithm
- text classification
- supervised learning
- feature vectors
- training set
- graph cuts
- support vector machine
- probabilistic model
- learning strategies
- shape prior
- weakly supervised
- image processing