| Abstrakt: |
A study conducted by the Koneru Lakshmaiah Education Foundation in Andhra Pradesh, India, focuses on the classification of prostate cancer using a deep attention neural network with an adaptive swarm intelligence technique. The study emphasizes the importance of early and accurate diagnosis in improving patient survival rates. The proposed method involves pre-processing, segmentation, feature extraction, and classification using a Taylor-based adaptive may fly swarm optimization and deep attention neural network. The results show that this approach achieved a detection rate of 97.8%, outperforming existing deep learning frameworks. The research concludes that the proposed method effectively classifies prostate cancer with reliable severity analysis. [Extracted from the article] |
