Novel approaches toward understanding the evolution of disease can lead to the discovery
of biomarkers that will enable better management of disease progression and improve …

There is an urgent need for improved techniques for disease detection. Optical spectroscopy
and imaging technologies have potential for non-or minimally-invasive use in a wide range …

Early diagnosis of oral cancers, one of the major cancers, is of utmost importance as 5-year
disease-free survival rates are some of the lowest, despite advances in treatment and …

Cancers of oral cavities are one of the most common malignancies in India and other south-
Asian countries. Tobacco habits are the main etiological factors for oral cancer. Identification …

Using fiber optic Raman spectroscopy and deep neural networks, we develop an intelligent
system which will be used to assist surgeons accurately and efficiently to identify oral …

Occurrence of metachronous and synchronous secondary tumors in oral cavities has been
associated with poor prognosis and decreased 5-year disease-free survival rates. The origin …

Border discrimination is very important in the treatment of tongue squamous cell carcinoma
(TSCC). This study proposes an ensemble convolutional neural network (CNN) framework …

Discriminating the border of tongue squamous cell carcinoma (TSCC) is very critical for
surgical treatment. Based on fiber optic Raman spectroscopy and deep learning technique …

Background Higher rates of local recurrences and second primaries, ascribable to field
cancerization, are known problem in oral cancers. The present study explored utility of …

For oral cancers, screening and monitoring of high-risk populations can aid in early
diagnosis and improve overall outcomes. Of the new methods, approaches based on …