deep-learning

CX-DaGAN: Domain Adaptation for Pneumonia Diagnosis on a Small Chest X-ray Dataset

Recent advances in deep learning led to several algorithms for the accurate diagnosis of pneumonia from chest X-rays. However, these models require large training medical datasets, which are sparse, isolated, and generally private. Furthermore, these …

Subspace-based Domain Adaptation Using Similarity Constraints for Pneumonia Diagnosis within a Small Chest X-ray Image Dataset

Recent advances in deep learning have led to an accurate diagnosis of pneumonia from chest X-ray images. However, these models usually require large labeled training datasets, not always available in practice. Furthermore, combining images from …

Flujo de trabajo con Colab y Pycharm

El objetivo de este tutorial es proporcionar un flujo de trabajo para entrenar modelos de Deep Learning. La idea general será utilizar el cliente de sincronización de Google Drive para modificar los archivos de manera local en nuestras computadoras y que los cambios se vean reflejados directamente en Colab.