Accurate Deep Learning-based Gastrointestinal Disease Classification via Transfer Learning Strategy

The automatic detection of diseases and gastrointestinal tract anomalies is a challenge for medical experts, affecting patient treatment decisions. Deep learning emerges as a new tool in interpreting medical images for the diagnosis, disease prediction, and clinical treatment analysis. Several works proposed in the literature rely on convolutional neural networks to classify medical images accurat...