<p class="jove_content">This study employs a controlled framework to evaluate preprocessing pipelines and optimizers within a fixed architecture, aiming to determine how classical preprocessing affects optimizers and Convolutional Neural Networks (CNNs) in brain tumor classification.</p>

image-preprocessing-optimizer-sensitivity-implications-for

Image Preprocessing and Optimizer Sensitivity: Implications for Convolutional Neural Networks in Diagnosing Brain Tumors

Brain tumor classification using magnetic resonance imaging (MRI) presents challenges due to variations in tumor size, shape, and texture.   Although ...

Institution - Gandhi Institute of Technology and Management (GITAM) Deemed to be University

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