The area of medical imaging has experienced a remarkable expansion in recent times, with
radiologists heavily depending on medical images for precise diagnoses. However …

One of the fundamental tasks of radiologists is the interpretation of X-ray images. To do this,
it is essential to search for similar cases that would help them in the decision-making …

When interpreting chest X-rays, a differential diagnosis that distinguishes a particular
disease from others presenting similar visual clues is one of the most complex tasks for …

Detecting lung pathologies is critical for precise medical diagnosis. In the realm of diagnostic
methods, various approaches, including imaging tests, physical examinations, and …

Chest radiography plays a vital role in medical diagnosis and monitoring the progression of
various conditions. When faced with complex cases, radiologists often rely on comparisons …

Disease detection using chest X-ray (CXR) images is one of the most popular radiology
methods to diagnose diseases through a visual inspection of abnormal symptoms in the …

In content-based image retrieval (CBIR) for medical images, the prevalent convolutional
neural network (CNN) models struggle with constrained interpretability, making it …

Medical-image-based diagnosis is a tedious task ‚and small lesions in various medical
images can be overlooked by medical experts due to the limited attention span of the human …

According to the Global Cancer Observatory, 2020, breast cancer is the most prevalent
cancer type in both genders (11.7%), while prostate cancer is the second most common …

As an image classification technology, target detection also needs to identify specific
locations of predefined categories. Therefore, target detection is not only to solve the …