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Cited by in F6Publishing
For: Sharma P, Balabantaray BK, Bora K, Mallik S, Kasugai K, Zhao Z. An Ensemble-Based Deep Convolutional Neural Network for Computer-Aided Polyps Identification From Colonoscopy. Front Genet 2022;13:844391. [PMID: 35559018 DOI: 10.3389/fgene.2022.844391] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Sharma P, Das D, Gautam A, Balabantaray BK. LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification. Int J Imaging Syst Tech 2022. [DOI: 10.1002/ima.22825] [Reference Citation Analysis]
2 Narasimha Raju AS, Jayavel K, Rajalakshmi T. ColoRectalCADx: Expeditious Recognition of Colorectal Cancer with Integrated Convolutional Neural Networks and Visual Explanations Using Mixed Dataset Evidence. Computational and Mathematical Methods in Medicine 2022;2022:1-27. [DOI: 10.1155/2022/8723957] [Reference Citation Analysis]
3 Narasimha Raju AS, Jayavel K, Rajalakshmi T, El Kafhali S. Dexterous Identification of Carcinoma through ColoRectalCADx with Dichotomous Fusion CNN and UNet Semantic Segmentation. Computational Intelligence and Neuroscience 2022;2022:1-29. [DOI: 10.1155/2022/4325412] [Reference Citation Analysis]
4 Ghosh A, Jana ND, Mallik S, Zhao Z. Designing optimal convolutional neural network architecture using differential evolution algorithm. Patterns 2022;3:100567. [DOI: 10.1016/j.patter.2022.100567] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Gautam A, Das S, Sharma P, Maji P, Balabantaray BK. SAU-NET: Scale Aware Polyp Segmentation using Encoder-Decoder Network. 2022 IEEE Region 10 Symposium (TENSYMP) 2022. [DOI: 10.1109/tensymp54529.2022.9864338] [Reference Citation Analysis]