Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …

Deep learning is expanding and continues to evolve its capabilities toward more accuracy,
speed, and cost-effectiveness. The core ingredients for getting its promising results are …

The attention mechanism in artificial neural networks is conceptually interlinked with human
visual attention, and studies have shown that either artificial or human attention can facilitate …

In 2020, an experiment testing AI solutions for lung X-ray analysis on a multi-hospital
network was conducted. The multi-hospital network linked 178 Moscow state healthcare …

Chest radiographies, or chest X-rays, are the most standard imaging exams used in daily
hospitals. Responsible for assisting in detecting numerous pathologies and findings that …

The application of deep learning algorithms in medical imaging analysis is a steadily
growing research area. While deep learning methods are thriving in the medical domain …

Thorax disease classification is a challenging task due to complex pathologies and subtle
texture changes, etc. It has been extensively studied for years largely because of its wide …

Mechanisms are provided to implement an automated medi cal imaging report generator
which receives an input medi cal image and inputs the input medical image into a machine …

As doenças pulmonares são uma problemática crescente em todo o mundo, sendo que em
Portugal representam a terceira causa de morte, prevendo-se que até 2030 venham a …

Mechanisms are provided to implement a fine-grained finding descriptor generation
computing tool that automatically generates fine-grained labels for downstream computer …