[HTML][HTML] A systematic review of artificial intelligence techniques for oral cancer detection

C Kavyashree, HS Vimala, J Shreyas - Healthcare Analytics, 2024 - Elsevier
Oral cancer is a form of cancer that develops in the tissue of an oral cavity. Detection at an
early stage is necessary to prevent the mortality rate in cancer patients. Artificial intelligence …

[HTML][HTML] A review on machine learning approaches in identification of pediatric epilepsy

MIB Ahmed, S Alotaibi, S Dash, M Nabil… - SN computer science, 2022 - Springer
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …

[HTML][HTML] IoMT-based osteosarcoma cancer detection in histopathology images using transfer learning empowered with blockchain, fog computing, and edge …

MU Nasir, S Khan, S Mehmood, MA Khan, A Rahman… - Sensors, 2022 - mdpi.com
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they
usually occur in the extremities of long bones near metaphyseal growth plates …

[HTML][HTML] Data mining approach to predict success of secondary school students: A Saudi Arabian case study

AS Alghamdi, A Rahman - Education Sciences, 2023 - mdpi.com
A problem that pervades throughout students' careers is their poor performance in high
school. Predicting students' academic performance helps educational institutions in many …

[HTML][HTML] 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 …

[HTML][HTML] Early diagnosis of oral squamous cell carcinoma based on histopathological images using deep and hybrid learning approaches

SM Fati, EM Senan, Y Javed - Diagnostics, 2022 - mdpi.com
Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …

[HTML][HTML] 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 …

[HTML][HTML] Kidney cancer prediction empowered with blockchain security using transfer learning

MU Nasir, M Zubair, TM Ghazal, MF Khan, M Ahmad… - Sensors, 2022 - mdpi.com
Kidney cancer is a very dangerous and lethal cancerous disease caused by kidney tumors
or by genetic renal disease, and very few patients survive because there is no method for …

An explainable deep learning approach for oral cancer detection

PA Babu, AK Rai, JVN Ramesh, A Nithyasri… - Journal of Electrical …, 2024 - Springer
With a high death rate, oral cancer is a major worldwide health problem, particularly in low-
and middle-income nations. Timely detection and diagnosis are crucial for effective …

[HTML][HTML] A Comprehensive assessment of Convolutional Neural Networks for skin and oral cancer detection using medical images

D Raval, JN Undavia - Healthcare Analytics, 2023 - Elsevier
Early detection is essential to effectively treat two of the most prevalent cancers, skin and
oral. Deep learning approaches have demonstrated promising results in effectively detecting …