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Cited by in F6Publishing
For: Rahman MM, Wadud MAH, Hasan MM. Computerized classification of gastrointestinal polyps using stacking ensemble of convolutional neural network. Informatics in Medicine Unlocked 2021;24:100603. [DOI: 10.1016/j.imu.2021.100603] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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1 Loy-benitez J, Tariq S, Nguyen HT, Safder U, Nam K, Yoo C. Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management. Building and Environment 2022;207:108537. [DOI: 10.1016/j.buildenv.2021.108537] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Pacal I, Karaman A, Karaboga D, Akay B, Basturk A, Nalbantoglu U, Coskun S. An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets. Comput Biol Med 2021;:105031. [PMID: 34802713 DOI: 10.1016/j.compbiomed.2021.105031] [Reference Citation Analysis]
3 Younas F, Usman M, Yan WQ. A deep ensemble learning method for colorectal polyp classification with optimized network parameters. Appl Intell. [DOI: 10.1007/s10489-022-03689-9] [Reference Citation Analysis]