This study provides a review of CNN's ensemble learning method for transfer learning by
highlighting sections such as review studies, datasets, pre-trained models, transfer learning …

Pneumonia is a potentially life-threatening infectious disease that is typically diagnosed
through physical examinations and diagnostic imaging techniques such as chest X-rays …

In recent years, many diseases can be diagnosed in a short time with the use of deep
learning models in the field of medicine. Most of the studies in this area focus on adult or …

There is a substantial worldwide effect, both in terms of disease and death, that is caused by
pediatric pneumonia, which is a disorder that affects children under the age of five. Even …

Squamous cell carcinoma (SCC) is one of the most common as well as deadliest kinds of
laryngeal cancer. The precise and early identification of laryngeal cancer plays a pivotal role …

Foundational models, pretrained on a large scale, have demonstrated substantial success
across non-medical domains. However, training these models typically requires large …

Deep learning-based models are employed in computer-aided diagnosis (CAD) tools
development for pediatric pneumonia (P-Pneumonia) detection. The accuracy of the model …

Pneumonia has been responsible for a large number of under-five children deaths
worldwide. The most common traditional method of diagnosing pneumonia is through X-ray …

An illness known as pneumonia causes inflammation in the lungs. Since there is so much
information available from various X-ray images, diagnosing pneumonia has typically …

Orthodontically induced external root resorption (OIERR) is a common complication of
orthodontic treatments. Accurate OIERR grading is crucial for clinical intervention. This study …