Role of artificial intelligence in the early diagnosis of oral cancer. A scoping review

M García-Pola, E Pons-Fuster, C Suárez-Fernández… - Cancers, 2021 - mdpi.com
Simple Summary Oral cancer is characterized by high morbidity and mortality, since the
disease is typically in an advanced locoregional stage at the time of diagnosis. The …

The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer

B Ilhan, P Guneri, P Wilder-Smith - Oral oncology, 2021 - Elsevier
Oral cancer (OC) is the sixth most commonly reported malignant disease globally, with high
rates of disease-related morbidity and mortality due to advanced loco-regional stage at …

The status of in vivo autofluorescence spectroscopy and imaging for oral oncology

DCG De Veld, MJH Witjes, H Sterenborg… - Oral oncology, 2005 - Elsevier
Autofluorescence spectroscopy and imaging have been studied for the early detection and
classification of (pre) malignancies of the oral mucosa. In the present review we will give an …

Understanding the biological basis of autofluorescence imaging for oral cancer detection: high-resolution fluorescence microscopy in viable tissue

I Pavlova, M Williams, A El-Naggar… - Clinical Cancer …, 2008 - AACR
Purpose: Autofluorescence imaging is increasingly used to noninvasively identify neoplastic
oral cavity lesions. Improving the diagnostic accuracy of these techniques requires a better …

Additional systems and methods for providing real-time anatomical guidance in a diagnostic or therapeutic procedure

S Nie, AM Mohs, MC Mancini - US Patent 9,345,389, 2016 - Google Patents
US9345389B2 - Additional systems and methods for providing real-time anatomical guidance
in a diagnostic or therapeutic procedure - Google Patents US9345389B2 - Additional systems …

Hand-held spectroscopic device for in vivo and intraoperative tumor detection: contrast enhancement, detection sensitivity, and tissue penetration

AM Mohs, MC Mancini, S Singhal… - Analytical …, 2010 - ACS Publications
Surgery is one of the most effective and widely used procedures in treating human cancers,
but a major problem is that the surgeon often fails to remove the entire tumor, leaving behind …

Machine-learning applications in oral cancer: A systematic review

XA López-Cortés, F Matamala, B Venegas, C Rivera - Applied Sciences, 2022 - mdpi.com
Over the years, several machine-learning applications have been suggested to assist in
various clinical scenarios relevant to oral cancer. We offer a systematic review to identify …

Random subspace method for multivariate feature selection

C Lai, MJT Reinders, L Wessels - Pattern recognition letters, 2006 - Elsevier
In a growing number of domains data captured encapsulates as many features as possible.
This poses a challenge to classical pattern recognition techniques, since the number of …

Objective detection and delineation of oral neoplasia using autofluorescence imaging

D Roblyer, C Kurachi, V Stepanek, MD Williams… - Cancer prevention …, 2009 - AACR
Although the oral cavity is easily accessible to inspection, patients with oral cancer most
often present at a late stage, leading to high morbidity and mortality. Autofluorescence …

Spectroscopic analysis of keratin endogenous signal for skin multiphoton microscopy

AM Pena, M Strupler, T Boulesteix… - Optics express, 2005 - opg.optica.org
We recorded one-photon excited fluorescence (1PEF) and two-photon excited fluorescence
(2PEF) spectra of purified keratin from human epidermis, and determined the action cross …