FLOWER POLLINATION ALGORITHM: A COMPREHENSIVE APPROACH FOR OBJECT DETECTION AND SEGMENTATION

Computer Science

This paper presents the integration of deep learning with the Flower Pollination Algorithm (DFPA) in the analysis of medical images. Deep learning has revolutionized various research fields, including medical imaging, by addressing complex challenges that were previously considered difficult to tackle with machines. Medical image processing, particularly image identification, detection, segmentation, imagery registration, and computer-assisted diagnostics, has greatly benefited from the exponential advancements in deep learning. However, some of the recent methods lack prior experience, leading to unpredictable outcomes.

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