The global occurrence of oral cancer (OC) has increased in recent years. OC that is
diagnosed in its advanced stages results in morbidity and mortality. The use of technology …

Cancer, characterized by the uncontrolled division of abnormal cells that harm body tissues,
necessitates early detection for effective treatment. Medical imaging is crucial for identifying …

With a high death rate, oral cancer is a major worldwide health problem, particularly in low-
and middle-income nations. Timely detection and diagnosis are crucial for effective …

Oral lesions are a prevalent manifestation of oral disease, and the timely identification of oral
lesions is imperative for effective intervention. Fortunately, deep learning algorithms have …

Oral cancer retains one of the lowest survival rates worldwide, despite recent therapeutic
advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits …

Objective Oral diseases, specifically malignant lesions, are serious global health concerns
requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has …

A large global health issue is cancer, wherein early diagnosis and treatment have proven to
be life-saving. This holds true for oral cancer, thus emphasizing the significance of timely …

Objective Oral cancer is a widespread global health problem characterised by high mortality
rates, wherein early detection is critical for better survival outcomes and quality of life. While …

Neutrosophic soft sets (NSS) are highly effective in representing neutral uncertain data. NSS
model attracts several authors because it has huge range of applications in several areas …

Background: Oral cancer (OC) has been more common across the globe recently. Early
identification and diagnosis made possible by the use of modern technologies may help the …