VGG16-PCA-PB3C: A hybrid PB3C and deep neural network based approach for leukemia detection
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41870-024-01990-z.pdf
Reference29 articles.
1. Abunadi I, Senan EM (2022) Multi-method diagnosis of blood microscopic sample for early detection of acute lymphoblastic leukemia based on deep learning and hybrid techniques. Sensors 22(4):1629
2. Kaur N, Singh A (2023) Leukemia detection: an overview of different artificial intelligence-based approaches. Recent advances in computing sciences. CRC Press, London, pp 45–50
3. Raina R, Gondhi NK, Chaahat, Singh D, Kaur M, Lee HN (2023) A systematic review on acute leukemia detection using deep learning techniques. Arch Comput Methods Eng 30(1):251–270
4. Talaat FM, Gamel SA (2024) Machine learning in detection and classification of leukemia using C-NMC_Leukemia. Multimed Tools Appl 83(3):8063–8076
5. Veni N, Manjula J (2023) VGG-16 architecture for MRI brain tumor image classification. In: Futuristic Communication and Network Technologies: Select Proceedings of VICFCNT 2021, vol 1. Springer, Singapore. pp 319–328
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