Pneumonia is a life-threatening lung infection resulting from several different viral infections.
Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity …

Objective The primary aim of this research was to harness the capabilities of deep learning
to enhance neurosurgical procedures, focusing on accurate tumor boundary delineation and …

Electronic Medical Images (EMI) have grown with the increase in population. EMI are used
for medical diagnosis for medical emergencies hence, they should be correct and clear for …

Focusing on enhancing the security and privacy of electronic medical images (EMI) which
have varying properties and larger in number before they are stored or transmitted by …

Pneumothorax is a disease that might threaten the patient's life and must be recognized and
treated as soon as feasible. An X-ray of the chest should be conducted as the first diagnostic …

Background The incidence and mortality of lung cancer ranks first in China. Bronchoscopy is
one of the most common diagnostic methods for lung cancer. In recent years, image …

Chest X‐ray (CXR) scans are emerging as an important diagnostic tool for the early spotting
of COVID and other significant lung diseases. The recognition of visual symptoms is difficult …

The increasing complexity of diagnostic imaging often leads to misinterpretations and
diagnostic errors, particularly in critical conditions such as pneumothorax. This study …

Training and comparing different images using deep learning techniques play a vital role in
image classification. However, these are typically dependent on large scales of datasets and …

Pneumothorax, a life-threatening condition characterized by air accumulation in the pleural
cavity, requires early and accurate detection for optimal patient outcomes. Chest X-ray …