Application and performance of artificial intelligence (AI) in oral cancer diagnosis and prediction using histopathological images: a systematic review
Oral cancer (OC) is one of the most common forms of head and neck cancer and continues
to have the lowest survival rates worldwide, even with advancements in research and …
to have the lowest survival rates worldwide, even with advancements in research and …
Deep learning in oral cancer-a systematic review
K Warin, S Suebnukarn - BMC Oral Health, 2024 - Springer
Background Oral cancer is a life-threatening malignancy, which affects the survival rate and
quality of life of patients. The aim of this systematic review was to review deep learning (DL) …
quality of life of patients. The aim of this systematic review was to review deep learning (DL) …
Oral squamous cell carcinoma detection using EfficientNet on histopathological images
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 …
oncology due to the absence of precise diagnostic tools, leading to delays in identifying the …
Development of a hybrid support vector machine with grey wolf optimization algorithm for detection of the solar power plants anomalies
Solar energy utilization in the industry has grown substantially, resulting in heightened
recognition of renewable energy sources from power plants and intelligent grid systems …
recognition of renewable energy sources from power plants and intelligent grid systems …
Deep convolutional neural networks information fusion and improved whale optimization algorithm based smart oral squamous cell carcinoma classification …
The most prevalent type of cancer worldwide is mouth cancer. Around 2.5% of deaths are
reported annually due to oral cancer in 2023. Early diagnosis of oral squamous cell …
reported annually due to oral cancer in 2023. Early diagnosis of oral squamous cell …
A current review of machine learning and deep learning models in oral cancer diagnosis: Recent technologies, open challenges, and future research directions
Cancer is a problematic global health issue with an extremely high fatality rate throughout
the world. The application of various machine learning techniques that have appeared in the …
the world. The application of various machine learning techniques that have appeared in the …
[HTML][HTML] Diagnostic performance of artificial intelligence in detecting oral potentially malignant disorders and oral cancer using medical diagnostic imaging: a …
Objective Oral cancer is a widespread global health problem characterised by high mortality
rates, wherein early detection is critical for better survival outcomes and quality of life. While …
rates, wherein early detection is critical for better survival outcomes and quality of life. While …
Deep transfer learning with improved crayfish optimization algorithm for oral squamous cell carcinoma cancer recognition using histopathological images
M Ragab, TO Asar - Scientific Reports, 2024 - nature.com
Abstract Oral Squamous Cell Carcinoma (OSCC) causes a severe challenge in oncology
due to the lack of diagnostic devices, leading to delays in detecting the disorder. The OSCC …
due to the lack of diagnostic devices, leading to delays in detecting the disorder. The OSCC …
Analysis of histopathological images for early diagnosis of oral squamous cell carcinoma by hybrid systems based on CNN fusion features
Oral squamous cell carcinoma (OSCC) is one of the deadliest and most common types of
cancer. The incidence of OSCC is increasing annually, which requires early diagnosis to …
cancer. The incidence of OSCC is increasing annually, which requires early diagnosis to …
Medical diagnosis decision-making framework on the internet of medical things platform using hybrid learning
There are no obvious clinical signs of a silent disease until it causes irreversible damage. As
computerized technologies become more common for early detection of ailments, severity …
computerized technologies become more common for early detection of ailments, severity …