Deep Neural Networks (DNN) have achieved state-of-the-art performance in medical image classification and are increasingly being used for disease diagnosis. However, these models are quite complex and
This study investigates the application of deep learning techniques, specifically Convolutional Neural Networks (CNNs), for breast cancer classification using medical imaging data. The research focuse
Resultados experimentais do Trabalho de Conclusão de Curso "Análise Comparativa de Arquiteturas de CNNs Pré-Treinadas para Detecção de Pneumonia em Radiografias Torácicas" (FMU, 2026). Inclui métricas
In this study, we formulate the task of retinal disease diagnosis as a supervised multiclass classification problem. The goal is to automatically assign each fundus image to one of four predefined dia
