OralNet: fused optimal deep features framework for oral squamous cell carcinoma detection

R Mohan, A Rama, RK Raja, MR Shaik, M Khan… - Biomolecules, 2023 - mdpi.com
Humankind is witnessing a gradual increase in cancer incidence, emphasizing the
importance of early diagnosis and treatment, and follow-up clinical protocols. Oral or mouth …

Automated detection and classification of oral lesions using deep learning for early detection of oral cancer

RA Welikala, P Remagnino, JH Lim, CS Chan… - Ieee …, 2020 - ieeexplore.ieee.org
Oral cancer is a major global health issue accounting for 177,384 deaths in 2018 and it is
most prevalent in low-and middle-income countries. Enabling automation in the …

Automatic classification and detection of oral cancer in photographic images using deep learning algorithms

K Warin, W Limprasert, S Suebnukarn… - Journal of Oral …, 2021 - Wiley Online Library
Background Oral cancer is a deadly disease among the most common malignant tumors
worldwide, and it has become an increasingly important public health problem in developing …

Oral squamous cell carcinoma detection using EfficientNet on histopathological images

E Albalawi, A Thakur, MT Ramakrishna… - Frontiers in …, 2024 - frontiersin.org
Introduction Oral Squamous Cell Carcinoma (OSCC) poses a significant challenge in
oncology due to the absence of precise diagnostic tools, leading to delays in identifying the …

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 …

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 …

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 …

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 …

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 …

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 …