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Analysis of Deep Learning Based Optimization Techniques For Oral Cancer Detection by unreel.user is a document available to read on EtoBox.

The document discusses the application of deep learning techniques for early detection of oral cancer, emphasizing the importance of optimization methods to enhance the performance of convolutional neural networks (CNNs). It highlights the need for accurate diagnostic methods due to the high treatability of oral cancer in its early stages and details the methodology for processing histopathological images. The study aims to improve detection accuracy through various feature extraction techniques and optimiz

Author

unreel.user

Language

EN