Oral cancer detection using convolutional neural network optimized by combined seagull optimization algorithm
Q Huang, H Ding, N Razmjooy - Biomedical Signal Processing and Control, 2024 - Elsevier
Early diagnosis of oral cancer is crucial for improving patient outcomes and saving lives.
However, inaccurate and improper diagnosis can hinder effective treatment. This paper …
However, inaccurate and improper diagnosis can hinder effective treatment. This paper …
Automatic detection of oral squamous cell carcinoma from histopathological images of oral mucosa using deep convolutional neural network
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 …
the highest number of oral cancer patients. To the population of oral cancer patients, India …
Advanced meta-heuristic algorithm based on Particle Swarm and Al-biruni Earth Radius optimization methods for oral cancer detection
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 …
income countries. An early and affordable oral cancer diagnosis might be achieved by …
Intelligent deep learning enabled oral squamous cell carcinoma detection and classification using biomedical images
Oral cancer is one of the lethal diseases among the available malignant tumors globally,
and it has become a challenging health issue in developing and low‐to‐middle income …
and it has become a challenging health issue in developing and low‐to‐middle income …
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 …
approaches with an eye towards achieving high accuracy. The first approach extracts local …
Optimal deep learning neural network using ISSA for diagnosing the oral cancer
Q Huang, H Ding, N Razmjooy - Biomedical Signal Processing and Control, 2023 - Elsevier
Most cancers are not fatal if diagnosed early and treated with medication. But if cancer is not
diagnosed early and people do not start treatment, their lives may be in danger. Oral cancer …
diagnosed early and people do not start treatment, their lives may be in danger. Oral 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 …
reported successes in recent years. This work aims to evaluate the performance of deep …
OralNet: fused optimal deep features framework for oral squamous cell carcinoma detection
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 …
importance of early diagnosis and treatment, and follow-up clinical protocols. Oral or mouth …
A convolutional neural network based deep learning algorithm for identification of oral precancerous and cancerous lesion and differentiation from normal mucosa: a …
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 …
The prime reason is more than 2/3rd of patients are diagnosed at later stages of cancer …
Automated Framework for Effective Identification of Oral Cancer Using Improved Convolutional Neural Network
J Manikandan, BV Krishna, N Varun… - 2023 Eighth …, 2023 - ieeexplore.ieee.org
Oral cancer is one of the most prevalent cancers worldwide, influencing and originating from
the mouth and neck, and its prevalence is rising in many communities. Tobacco usage and …
the mouth and neck, and its prevalence is rising in many communities. Tobacco usage and …