Harnessing Deep Learning to Bridge AI and Medical Imaging

Abstract

Deep learning has revolutionized medical imaging by enabling automated detection of complex patterns in histopathology slides. As a powerful subset of machine learning, it is transforming diagnostic pathology by improving accuracy, efficiency, and scalability in tissue analysis. Precise classification of histopathological images remains a critical challenge in modern medicine, directly impacting diagnosis and treatment planning. To address this, we propose a novel deep learning framework that significantly improves the classification of tissue samples. Our approach introduces an advanced convolutional neural network (CNN) architecture, optimized for high-resolution histopathology image analysis. This model achieves stateof- the-art performance in disease detection, grading, and subclassification, supporting pathologists in clinical decision-making. diagnostic precision in this domain