Limited availability of medical imaging datasets is a vital limitation when using “data hungry”
deep learning to gain performance improvements. Dealing with the issue, transfer learning …

Oral cancer is a frequent and challenging cancer that has a high fatality rate. It is the fifth
most common cancer in India, with 130,000 deaths each year. There are various 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 …

Oral squamous cell carcinoma (OSCC) is a subset of head and neck squamous cell
carcinoma (HNSCC), the 7th most common cancer worldwide, and accounts for more than …

Simple Summary The research aimed to address the challenges in the early diagnosis of
Oral Squamous Cell Carcinoma (OSCC), a critical concern given its high fatality rate and …

Background Discrimination of nasal cavity mass lesions is a challenging work requiring
extensive experience. A deep learning‐based automated diagnostic system may help …

Oral cancer is known as one of the relatively common malignancy types worldwide. Despite
the easy access of the oral cavity to examination, the invasive biopsy is still essential for final …

The rising prevalence of oral and dental conditions, including issues like gum disease and
oral cancer, presents a pressing global health challenge. The promptly identification of …

The most common and widely known type of head and neck cancer is the Oral or mouth
neoplasm, of which Oral Cavity Squamous Cell Carcinoma (OCSCC) is the most popular …

Background Oral cancer is one of the most common types of cancer in men causing mortality
if not diagnosed early. In recent years, computer-aided diagnosis (CAD) using artificial …