Diego Quinde Falconí

Submitted: 17 February 2025 You are already at the latest version Resumen: This study emphasizes the application of deep learning techniques for tumor detection in medical images using YOLOv11. By leveraging convolutional neural networks (CNNs) pre-trained on large-scale datasets, the model fine-tunes its parameters to address the specific challenge of tumor identification. Training and validation are analyzed through loss and metric graphs.