Oral cancer is a form of cancer that develops in the tissue of an oral cavity. Detection at an
early stage is necessary to prevent the mortality rate in cancer patients. Artificial intelligence …

Cancer is a problematic global health issue with an extremely high fatality rate throughout
the world. The application of various machine learning techniques that have appeared in the …

Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and
its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and …

In biophotonics, novel techniques and approaches are being constantly sought to assist
medical doctors and to increase both sensitivity and specificity of the existing diagnostic …

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

Accurate identification of genetic alterations in tumors, such as Fibroblast Growth Factor
Receptor, is crucial for treating with targeted therapies; however, molecular testing can delay …

Earlier detection and classification of squamous cell carcinoma (OSCC) is a widespread
issue for efficient treatment, enhancing survival rate, and reducing the death rate. Thus, it …

Oral cancer causes over 350 000 deaths annually worldwide. Although most cases are in
Asia, the incidence of oral cancer is rising across the world. Despite recent advances in …

Mueller polarimetry has proven to be a powerful optical technique to complement medical
doctors in their conventional histology analysis. In this work, various degenerative and …

Oral Squamous Cell Carcinoma (OSCC) is a type of Head and Neck Squamous Cell
Carcinoma (HNSCC) and it should be diagnosed at early stages to accomplish efficient …