An efficient convolutional global gated recurrent-based adaptive gazelle algorithm for enhanced disease detection and classification
In modern healthcare, medical image processing plays a vital role in enabling early disease detection, treatment planning, and improved patient care. However, traditional methods face challenges such as handling big data, scalability, and computational intensity. To address these issues, this paper...
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Veröffentlicht in: | Evolving systems 2024-10, Vol.15 (5), p.1881-1893 |
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