Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives

NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Role of artificial intelligence in the early diagnosis of oral cancer. A sco** 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 …

Advanced meta-heuristic algorithm based on Particle Swarm and Al-biruni Earth Radius optimization methods for oral cancer detection

H Myriam, AA Abdelhamid, ESM El-Kenawy… - IEEE …, 2023 - ieeexplore.ieee.org
Oral cancer is a deadly form of cancerous tumor that is widely spread in low and middle-
income countries. An early and affordable oral cancer diagnosis might be achieved by …

A novel lightweight deep convolutional neural network for early detection of oral cancer

F Jubair, O Al‐karadsheh, D Malamos… - Oral …, 2022 - Wiley Online Library
Objectives To develop a lightweight deep convolutional neural network (CNN) for binary
classification of oral lesions into benign and malignant or potentially malignant using …

Automated detection and classification of oral lesions using deep learning to detect oral potentially malignant disorders

G Tanriver, M Soluk Tekkesin, O Ergen - Cancers, 2021 - mdpi.com
Simple Summary Oral cancer is the most common type of head and neck cancer worldwide.
The detection of oral potentially malignant disorders, which carry a risk of develo** into …

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 use of artificial intelligence, machine learning and deep learning in oncologic histopathology

AS Sultan, MA Elgharib, T Tavares… - Journal of Oral …, 2020 - Wiley Online Library
Background Recently, there has been a momentous drive to apply advanced artificial
intelligence (AI) technologies to diagnostic medicine. The introduction of AI has provided …

Detection of oral squamous cell carcinoma in clinical photographs using a vision transformer

T Flügge, R Gaudin, A Sabatakakis, D Tröltzsch… - Scientific Reports, 2023 - nature.com
Oral squamous cell carcinoma (OSCC) is amongst the most common malignancies, with an
estimated incidence of 377,000 and 177,000 deaths worldwide. The interval between the …

A convolutional neural network based deep learning algorithm for identification of oral precancerous and cancerous lesion and differentiation from normal mucosa: a …

D Sharma, V Kudva, V Patil, A Kudva… - Engineered …, 2022 - espublisher.com
Oral cancer is the 6th most common cancer associated with high diseases related mortality.
The prime reason is more than 2/3rd of patients are diagnosed at later stages of cancer …

Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancer

K Bansal, RK Bathla, Y Kumar - Soft Computing, 2022 - Springer
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 …