Histopathologic oral cancer prediction using oral squamous cell carcinoma biopsy empowered with transfer learning

A Rahman, A Alqahtani, N Aldhafferi, MU Nasir… - Sensors, 2022 - mdpi.com
Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the
most usual cancer in the world, with more than 300,335 deaths every year. The cancerous …

[HTML][HTML] Deep machine learning for oral cancer: from precise diagnosis to precision medicine

RO Alabi, A Almangush, M Elmusrati… - Frontiers in Oral …, 2022 - frontiersin.org
Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and
its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and …

Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancer

K Bansal, RK Bathla, Y Kumar - Soft Computing, 2022 - Springer
Oral cancer is a frequent and challenging cancer that has a high fatality rate. It is the fifth
most common cancer in India, with 130,000 deaths each year. There are various diagnostic …

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 …

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 …

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 …

Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network

N Das, E Hussain, LB Mahanta - Neural Networks, 2020 - Elsevier
The analysis of tissue of a tumor in the oral cavity is essential for the pathologist to ascertain
its grading. Recent studies using biopsy images reveal computer-aided diagnosis for oral …

Deep learning model for tongue cancer diagnosis using endoscopic images

J Heo, JH Lim, HR Lee, JY Jang, YS Shin, D Kim… - Scientific reports, 2022 - nature.com
In this study, we developed a deep learning model to identify patients with tongue cancer
based on a validated dataset comprising oral endoscopic images. We retrospectively …

Interpretable deep learning approach for oral cancer classification using guided attention inference network

KC Figueroa, B Song, S Sunny, S Li… - … of biomedical optics, 2022 - spiedigitallibrary.org
Significance: Convolutional neural networks (CNNs) show the potential for automated
classification of different cancer lesions. However, their lack of interpretability and …

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 …