An Adaptive Generative 3D VNet Model for Enhanced Monkeypox Lesion Classification Using Deep Learning and Augmented Image Fusion

Muhammed Kalo Hamdan A, Ekmekci D: Prediction of monkeypox infection from clinical symptoms with adaptive artificial bee colony-based artificial neural network. Neural Computing and Applications 36(22): 13715–13730, 2024. https://doi.org/10.1007/s00521-024-09782-z

Setegn G M, Dejene B E: Explainable AI for symptom-based detection of monkeypox: a machine learning approach. BMC Infectious Diseases 25(1): 419, 2025. https://doi.org/10.1186/s12879-025-10738-4

Article  PubMed  PubMed Central  Google Scholar 

Huang Y, Bergant V, Grass V, Emslander Q, Hamad M S, Hubel P, Mergner J, Piras A, Krey K, Henrici A, Öllinger R: Multi-omics characterization of the monkeypox virus infection. Nature Communications 15(1): 6778, 2024. https://doi.org/10.1038/s41467-024-51074-6

Article  CAS  PubMed  PubMed Central  Google Scholar 

Djuicy D D, Sadeuh-Mba S A, Bilounga C N, Yonga M G, Tchatchueng-Mbougua J B, Essima G D, Esso L, Nguidjol I M, Metomb S F, Chebo C, Agwe S M: Concurrent clade I and clade II monkeypox Virus Circulation, Cameroon, 1979–2022. Emerging Infectious Diseases 30(3): 432, 2024. https://doi.org/10.3201/eid3003.230861

Article  PubMed  PubMed Central  Google Scholar 

Jain N, Umar T P, Sayad R, Mokresh M E, Tandarto K, Siburian R, Liana P, Laivacuma S, Reinis A: Monkeypox diagnosis in clinical settings: a comprehensive review of best laboratory practices. Poxviruses 253–271, 2024. https://doi.org/10.1007/978-3-031-57165-7_16

Papadakis G, Tran T, Druce J, Lim C K, Williamson D A, Jackson K: Evaluation of 16 molecular assays for the detection of orthopox and mpox viruses. Journal of Clinical Virology 161: 105424, 2023. https://doi.org/10.1016/j.jcv.2023.105424

Article  CAS  PubMed  PubMed Central  Google Scholar 

Specchiarello E, Carletti F, Matusali G, Abbate I, Rozera G, Minosse C, Petrivelli E, Ferraioli V, Sciamanna R, Maggi F: Development and validation of a nanoplate-based digital PCR assay for absolute MPXV quantification. Journal of Virological Methods 321: 114802, 2023. https://doi.org/10.1016/j.jviromet.2023.114802

Article  CAS  PubMed  Google Scholar 

He T, Zhang X, Zhang X: Global environmental virome of deep-sea sediments reveals the ancestors of human pathogen viruses. Available at SSRN 4586458.

Hutin S, Ling W L, Tarbouriech N, Schoehn G, Grimm C, Fischer U, Burmeister W P: The Vaccinia virus DNA helicase structure from combined single-particle cryo-electron microscopy and AlphaFold2 prediction. Viruses 14(10): 2206, 2022. https://doi.org/10.3390/v14102206

Article  CAS  PubMed  PubMed Central  Google Scholar 

Dhar S, Jana N D, Das S: An adaptive-learning-based generative adversarial network for one-to-one voice conversion. IEEE Transactions on artificial intelligence 4(1): 92-106, 2022. https://doi.org/10.1109/TAI.2022.3149858

Article  Google Scholar 

Biswas D, Tešić J: Binarydnet53: a lightweight binarized CNN for monkeypox virus image classification. Signal, Image and Video Processing 18(10): 7107-7118, 2024. https://doi.org/10.1007/s11760-024-03379-8

Article  Google Scholar 

Demir F B, Baygin M, Tuncer I, Barua P D, Dogan S, Tuncer T, Ooi C P, Ciaccio E J, Acharya U R: MNPDenseNet: automated monkeypox detection using multiple nested patch division and pretrained densenet201. Multimedia Tools and Applications 83(30): 75061-75083, 2024. https://doi.org/10.1007/s11042-024-18416-4

Article  Google Scholar 

Eslam A, Abdelfattah M G, El-Kenawy E S M, El-Din Moustafa H: Classification of Monkeypox Using Greylag Goose Optimization (GGO) Algorithm. Fusion: Practice & Applications 16(2), 2024. https://doi.org/10.54216/FPA.160206

Dihan F J, Murad S A, Muzahid A J M, Uddin K M, Alenazi M J, Bairagi A K, Biswas S: MpoxSLDNet: A Novel CNN Model for Detecting Monkeypox Lesions and Performance Comparison with Pre-trained Models. arXiv preprint arXiv:2405.21016, 2024. https://doi.org/10.48550/arXiv.2405.21016

Singh R, Sharma N, Upadhyay D, Devliyal S, Shory A: A Novel CNN Model for Monkeypox Classification and Detection. In 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC) 1495–1500, 2024. https://doi.org/10.1109/AIC61668.2024.10730955

Chunhapran O, Maliyeam M, Quirchmayr G: Monkeypox Lesion and Rash Stage Classification Using Deep Learning Technique. In International Conference on Computing and Information Technology 141–149, 2024. https://doi.org/10.1007/978-3-031-58561-6_14

Huan E, Dun H: MSMP-net: a multi-scale neural network for end-to-end monkeypox virus skin lesion classification. Applied Sciences 14(20): 9390, 2024. https://doi.org/10.3390/app14209390

Article  CAS  Google Scholar 

Akram A, Jamjoom A A, Innab N, Almujally N A, Umer M, Alsubai S, Fimiani G: SkinMarkNet: an automated approach for prediction of monkeyPox using image data augmentation with deep ensemble learning models. Multimedia Tools and Applications 1–17, 2024. https://doi.org/10.1007/s11042-024-19862-w

Yang T, Yang T, Liu A, An N, Liu S, Liu X: AICOM-MP: an AI-based monkeypox detector for resource-constrained environments. Connection Science 36(1): 2306962, 2024. https://doi.org/10.1080/09540091.2024.2306962

Article  Google Scholar 

Sun J, Yuan B, Sun Z, Zhu J, Deng Y, Gong Y, Chen Y: MpoxNet: dual-branch deep residual squeeze and excitation monkeypox classification network with attention mechanism. Frontiers in Cellular and Infection Microbiology 14: 1397316, 2024. https://doi.org/10.3389/fcimb.2024.1397316

Article  PubMed  PubMed Central  Google Scholar 

Yasmin F, Hassan M M, Hasan M, Zaman S, Kaushal C, El-Shafai W, Soliman N F: PoxNet22: A fine-tuned model for the classification of monkeypox disease using transfer learning. Ieee Access 11: 24053-24076, 2023. https://doi.org/10.1109/ACCESS.2023.3253868

Article  Google Scholar 

Bala D, Hossain M S, Hossain M A, Abdullah M I, Rahman M M, Manavalan B, Gu N, Islam M S, Huang Z: MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification. Neural Networks 161: 757–775, 2023. https://doi.org/10.1016/j.neunet.2023.02.022

Fajar A, Sarno R, Fatichah C, Fahmi A: Reconstructing and resizing 3D images from DICOM files. Journal of King Saud University-Computer and Information Sciences 34(6): 3517-3526, 2022. https://doi.org/10.1016/j.jksuci.2020.12.004

Article  Google Scholar 

Albahra S, Gorbett T, Robertson S, D’Aleo G, Kumar S V S, Ockunzzi S, Lallo D, Hu B, Rashidi H H: Artificial intelligence and machine learning overview in pathology & laboratory medicine: A general review of data preprocessing and basic supervised concepts. In Seminars in Diagnostic Pathology 40(2): 71-87, 2023. https://doi.org/10.1053/j.semdp.2023.02.002

Article  Google Scholar 

Fawakherji M, Suriani V, Nardi D, Bloisi D: Shape and style GAN-based multispectral data augmentation for crop/weed segmentation in precision farming. Crop Protection 184: 106848, 2024. https://doi.org/10.1016/j.cropro.2024.106848

Article  Google Scholar 

Alandijany T A, El-Daly M M, Tolah A M, Bajrai L H, Khateb A M, Kumar G S, Dubey A, Dwivedi V D, Azhar E I: A multi-targeted computational drug discovery approach for repurposing tetracyclines against monkeypox virus. Scientific Reports 13(1): 14570, 2023. https://doi.org/10.1038/s41598-023-41820-z

Article  CAS  PubMed  PubMed Central  Google Scholar 

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