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University of East London
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EfficientNetB0 outperformed other CNN architectures by achieving a remarkable 95% accuracy in brain tumor classification, highlighting the critical role of model efficiency over depth in medical imaging.
Achieving a dice coefficient of 0.9411 with a lightweight fine-tuning method could revolutionize skin lesion segmentation in clinical settings.
