AIMC Topic: Mouth Neoplasms

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Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma.

Oral oncology
OBJECTIVES: To develop and validate an algorithm to predict occult nodal metastasis in clinically node negative oral cavity squamous cell carcinoma (OCSCC) using machine learning. To compare algorithm performance to a model based on tumor depth of in...

Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm.

Journal of cancer research and clinical oncology
PURPOSE: Oral cancer is a complex wide spread cancer, which has high severity. Using advanced technology and deep learning algorithm early detection and classification are made possible. Medical imaging technique, computer-aided diagnosis and detecti...

Enhanced Computational Model for Gravitational Search Optimized Echo State Neural Networks Based Oral Cancer Detection.

Journal of medical systems
The Clinical Oncology of American Society report in 2016 predicted deaths are increased upto 9570 due to oral cancer. This cancer occurs due to abnormal tissue growth in the oral cavity. This cancer has limited symptoms, so, it has been difficult to ...

Automatic identification of clinically relevant regions from oral tissue histological images for oral squamous cell carcinoma diagnosis.

Tissue & cell
Identification of various constituent layers such as epithelial, subepithelial, and keratin of oral mucosa and characterization of keratin pearls within keratin region as well, are the important and mandatory tasks for clinicians during the diagnosis...

Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

Scientific reports
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed at a late ...

Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer.

TheScientificWorldJournal
In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most advantageous treatment of the suspicious lesions. The main hurdle in appropriate treatment and contr...

The application of data mining techniques to oral cancer prognosis.

Journal of medical systems
This study adopted an integrated procedure that combines the clustering and classification features of data mining technology to determine the differences between the symptoms shown in past cases where patients died from or survived oral cancer. Two ...

The vertices number determined SERS activity of polyhedra and the application in oral cancer detection based on deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Due to the inherent specificity and high sensitivity, biomedical detections based on Surface-Enhanced Raman Scattering (SERS) technology have garnered increasing attention. In the SERS detection process, fabricating a highly sensitive SERS substrate ...

Unexploited opportunities in oral disease biosensors and digital health integration.

Clinica chimica acta; international journal of clinical chemistry
Oral pathologies such as oral cancer, oral potentially malignant disorders (OPMDs), oral squamous cell carcinoma (OSCC), represent significant global health challenges owing to their prevalence, complex management, and impact on patient quality of li...

FTIR-based machine learning for prediction of malignant transformation in oral epithelial dysplasia.

The Analyst
Oral squamous cell carcinoma (OSCC) is an aggressive cancer with a poor prognosis. Oral epithelial dysplasia (OED) is a precancerous lesion associated with an increased risk of malignant transformation (MT) into OSCC. However, current histopathologic...