Introduction Several studies have emphasized the potential of artificial intelligence (AI) and
its subfields, such as machine learning (ML), as emerging and feasible approaches to …

Cancer is a dangerous and sometimes life-threatening disease that can have several
negative consequences for the body, is a leading cause of mortality, and is becoming …

Background The optimal management of oropharyngeal squamous cell carcinoma (OPSCC)
includes both surgical and non-surgical, that is,(chemo) radiotherapy treatment options and …

This paper proposes a novel model using deep transfer learning to predict oral squamous
cell carcinoma (OSCC) histopathological images with gradient-class activation mapping …

Background Radiomics is a rapidly growing field used to leverage medical radiological
images by extracting quantitative features. These are supposed to characterize a patient's …

Oral squamous cell carcinoma (OSCC) is one of the deadliest and most common types of
cancer. The incidence of OSCC is increasing annually, which requires early diagnosis to …

Background: Optimizing care for patients with complex problems entails the integration of
clinically appropriate problem-specific clinical protocols, and the optimization of service …

Early oral cancer identification is crucial, which affects millions of people worldwide, is
crucial for enhancing patient prognosis and survival rates. The primary method for …

One of the most serious tumors that affects the oral cavity is oral cancer. Smoking cigarettes
and increased tobacco use are the main risk factors for mouth cancer. When oral cancer is …

With the accumulation and development of medical multimodal data as well as the
breakthrough in the theory and practice of artificial neural network and deep learning …