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 …

[HTML][HTML] Automatic detection of oral squamous cell carcinoma from histopathological images of oral mucosa using deep convolutional neural network

M Das, R Dash, SK Mishra - International Journal of Environmental …, 2023 - mdpi.com
Worldwide, oral cancer is the sixth most common type of cancer. India is in 2nd position, with
the highest number of oral cancer patients. To the population of oral cancer patients, India …

[HTML][HTML] AI-based analysis of oral lesions using novel deep convolutional neural networks for early detection of oral cancer

K Warin, W Limprasert, S Suebnukarn, S Jinaporntham… - Plos one, 2022 - journals.plos.org
Artificial intelligence (AI) applications in oncology have been developed rapidly with
reported successes in recent years. This work aims to evaluate the performance of deep …

Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer

MZM Shamim, S Syed, M Shiblee, M Usman… - The Computer …, 2022 - academic.oup.com
Discovering oral cavity cancer (OCC) at an early stage is an effective way to increase patient
survival rate. However, current initial screening process is done manually and is expensive …

Diagnosis of oral squamous cell carcinoma using deep neural networks and binary Particle Swarm optimization on histopathological images: an AIoMT approach

MA Deif, H Attar, A Amer, IA Elhaty… - Computational …, 2022 - Wiley Online Library
Overall prediction of oral cavity squamous cell carcinoma (OCSCC) remains inadequate, as
more than half of patients with oral cavity cancer are detected at later stages. It is generally …

[HTML][HTML] 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 developing into …

[HTML][HTML] Machine learning in the detection of oral lesions with clinical intraoral images

Y Dinesh, K Ramalingam, P Ramani, RM Deepak - Cureus, 2023 - ncbi.nlm.nih.gov
Introduction: Artificial intelligence in oncology has gained a lot of interest in recent years.
Early detection of Oral squamous cell carcinoma (OSCC) is crucial for early management to …

[HTML][HTML] Automated detection and classification of oral squamous cell carcinoma using deep neural networks

B Ananthakrishnan, A Shaik, S Kumar, SO Narendran… - Diagnostics, 2023 - mdpi.com
This work aims to classify normal and carcinogenic cells in the oral cavity using two different
approaches with an eye towards achieving high accuracy. The first approach extracts local …

[PDF][PDF] Early diagnosis of oral cancer using image processing and artificial intelligence

ES Mira, AMS Sapri, RF Aljehanı… - Fusion: Practice and …, 2024 - researchgate.net
There has yet to be a comprehensive investigation on enhancing the diagnostic accuracy of
oral disease using handheld smartphone photographic photos. To overcome the difficulties …

[HTML][HTML] Multi-method analysis of histopathological image for early diagnosis of oral squamous cell carcinoma using deep learning and hybrid techniques

M Ahmad, MA Irfan, U Sadique, I Haq, A Jan… - Cancers, 2023 - mdpi.com
Simple Summary The research aimed to address the challenges in the early diagnosis of
Oral Squamous Cell Carcinoma (OSCC), a critical concern given its high fatality rate and …