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Cited by in F6Publishing
For: Cheong KH, Tang KJW, Zhao X, Koh JEW, Faust O, Gururajan R, Ciaccio EJ, Rajinikanth V, Acharya UR. An automated skin melanoma detection system with melanoma-index based on entropy features. Biocybernetics and Biomedical Engineering 2021;41:997-1012. [DOI: 10.1016/j.bbe.2021.05.010] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhao X, Lai JW, Wah Ho AF, Liu N, Hock Ong ME, Cheong KH. Predicting hospital emergency department visits with deep learning approaches. Biocybernetics and Biomedical Engineering 2022. [DOI: 10.1016/j.bbe.2022.07.008] [Reference Citation Analysis]
2 Camacho-gutiérrez JA, Solorza-calderón S, Álvarez-borrego J. Multi-class skin lesion classification using prism- and segmentation-based fractal signatures. Expert Systems with Applications 2022;197:116671. [DOI: 10.1016/j.eswa.2022.116671] [Reference Citation Analysis]
3 Cheng X, Kadry S, Meqdad MN, Crespo RG. CNN supported framework for automatic extraction and evaluation of dermoscopy images. J Supercomput. [DOI: 10.1007/s11227-022-04561-w] [Reference Citation Analysis]
4 Liu B, Deng Y, Cheong KH. An improved multisource data fusion method based on a novel divergence measure of belief function. Engineering Applications of Artificial Intelligence 2022;111:104834. [DOI: 10.1016/j.engappai.2022.104834] [Reference Citation Analysis]
5 Pereira PMM, Thomaz LA, Tavora LMN, Assuncao PAA, Fonseca-pinto R, Paiva RP, Faria SMM. Multiple Instance Learning Using 3D Features for Melanoma Detection. IEEE Access 2022;10:76296-309. [DOI: 10.1109/access.2022.3192444] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Bajić D, Japundžić-žigon N. On Quantization Errors in Approximate and Sample Entropy. Entropy 2022;24:73. [DOI: 10.3390/e24010073] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
7 Rajakumar MP, Sonia R, Uma Maheswari B, Karuppiah SP. Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features. J Xray Sci Technol 2021;29:961-74. [PMID: 34459432 DOI: 10.3233/XST-210976] [Cited by in F6Publishing: 4] [Reference Citation Analysis]