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Cited by in F6Publishing
For: Ertuğrul ÖF, Akıl MF. Detecting hemorrhage types and bounding box of hemorrhage by deep learning. Biomedical Signal Processing and Control 2022;71:103085. [DOI: 10.1016/j.bspc.2021.103085] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Ozaltin O, Coskun O, Yeniay O, Subasi A. Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm. Int J Imaging Syst Tech. [DOI: 10.1002/ima.22806] [Reference Citation Analysis]
2 Wen W, Li L. Research on Modern Book Packaging Design Based on Aesthetic Evaluation Based on a Deep Learning Model. Scientific Programming 2022;2022:1-10. [DOI: 10.1155/2022/8329745] [Reference Citation Analysis]
3 Etemadi S, Khashei M. Accuracy versus reliability-based modelling approaches for medical decision making. Comput Biol Med 2021;141:105138. [PMID: 34929467 DOI: 10.1016/j.compbiomed.2021.105138] [Reference Citation Analysis]