Application and performance of artificial intelligence technology in oral cancer diagnosis and prediction of prognosis: a systematic review

SB Khanagar, S Naik, AA Al Kheraif, S Vishwanathaiah… - Diagnostics, 2021 - mdpi.com
Oral cancer (OC) is a deadly disease with a high mortality and complex etiology. Artificial
intelligence (AI) is one of the outstanding innovations in technology used in dental science …

Histopathologic oral cancer prediction using oral squamous cell carcinoma biopsy empowered with transfer learning

A Rahman, A Alqahtani, N Aldhafferi, MU Nasir… - Sensors, 2022 - mdpi.com
Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the
most usual cancer in the world, with more than 300,335 deaths every year. The cancerous …

Accuracy of Artificial Intelligence Models in Dental Implant Fixture Identification and Classification from Radiographs: A Systematic Review

WI Ibraheem - Diagnostics, 2024 - mdpi.com
Background and Objectives: The availability of multiple dental implant systems makes it
difficult for the treating dentist to identify and classify the implant in case of inaccessibility or …

An ensemble deep learning model with empirical wavelet transform feature for oral cancer histopathological image classification

BS Deo, M Pal, PK Panigrahi, A Pradhan - International Journal of Data …, 2024 - Springer
Oral squamous cell carcinoma (OSCC) has become quite prevalent across many countries,
and poor prognosis is one of the major reasons for the ensuing high mortality rate …

Unveiling the future of oral squamous cell carcinoma diagnosis: an innovative hybrid AI approach for accurate histopathological image analysis

IU Haq, M Ahmad, M Assam, YY Ghadi… - IEEE Access, 2023 - ieeexplore.ieee.org
Oral cancer poses a formidable global health threat, demanding urgent attention to combat
its devastating impact. Timely detection of oral squamous cell carcinoma (OSCC) is pivotal …

Application of data mining techniques and data analysis methods to measure cancer morbidity and mortality data in a regional cancer registry: The case of the island …

I Varlamis, I Apostolakis, D Sifaki-Pistolla, N Dey… - Computer methods and …, 2017 - Elsevier
Abstract Background and Objective Micro or macro-level mapping of cancer statistics is a
challenging task that requires long-term planning, prospective studies and continuous …

Geriatric depression symptoms coexisting with cognitive decline: a comparison of classification methodologies

IM Spyrou, C Frantzidis, C Bratsas, I Antoniou… - … Signal Processing and …, 2016 - Elsevier
Geriatric depression is a pathological process that causes a great number of symptoms
resulting in limited mental and physical functionality. The computation of oscillatory and …

Data mining models for predicting oral cancer survivability

N Sharma, H Om - Network Modeling Analysis in Health Informatics and …, 2013 - Springer
In this paper, three predictive models are proposed to identify the most effective model for
predicting the survival rate of oral cancer in patients who visit the ENT OPD. This study …

Performance comparison of oral cancer classification with Gaussian mixture measures and multi layer Perceptron

H Rajaguru, SK Prabhakar - … on Biomedical Engineering: ICBME 2016, 7th …, 2017 - Springer
One of the most commonly occurring cancers is oral cancer. The incidence of the oral cancer
seems to be increasing exponentially in the world. The clinician has to undergo a higher …

Predicting survivability in oral cancer patients

D Sharma, N Goel, VK Garg - … of 2nd International Conference on Artificial …, 2022 - Springer
Background The present article is an attempt to review the important advances and recent
developments made for the survivability of patients with oral cancer (OC). OC is one of the …