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 …
Advanced deep learning algorithms in oral cancer detection: Techniques and applications
D Wankhade, C Dhawale… - Journal of Environmental …, 2024 - Taylor & Francis
As the 16th most common cancer globally, oral cancer yearly accounts for some 355,000
new cases. This study underlines that an early diagnosis can improve the prognosis and cut …
new cases. This study underlines that an early diagnosis can improve the prognosis and cut …
Oral cancer detection using feature-level fusion and novel self-attention mechanisms
SUR Khan, S Asif - Biomedical Signal Processing and Control, 2024 - Elsevier
The rising prevalence of oral and dental conditions, including issues like gum disease and
oral cancer, presents a pressing global health challenge. The promptly identification of …
oral cancer, presents a pressing global health challenge. The promptly identification of …
A general framework for qualitative analysis of Raman spectroscopy based on deep learning
M Yu, L Li, R You, X Ma, C Zheng, L Zhu, T Zhang - Microchemical Journal, 2024 - Elsevier
Deep learning has become the prevailing method for qualitative analysis of Raman
spectroscopy. However, for researchers and engineers without a background in computer …
spectroscopy. However, for researchers and engineers without a background in computer …
[HTML][HTML] Enhancing Oral Squamous Cell Carcinoma Detection Using Histopathological Images: A Deep Feature Fusion and Improved Haris Hawks Optimization …
Oral cancer, also known as oral squamous cell carcinoma (OSCC), is one of the most
prevalent types of cancer and caused 177,757 deaths worldwide in 2020, as reported by the …
prevalent types of cancer and caused 177,757 deaths worldwide in 2020, as reported by the …
RepDwNet: Lightweight Deep Learning Model for Special Biological Blood Raman Spectra Analysis
The Raman spectroscopy analysis technique has found extensive applications across
various disciplines due to its exceptional convenience and efficiency, facilitating the analysis …
various disciplines due to its exceptional convenience and efficiency, facilitating the analysis …