Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview
Background This paper reviews recent literature employing Artificial Intelligence/Machine
Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using …
Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using …
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 …
Automated detection and classification of oral lesions using deep learning for early detection of oral cancer
Oral cancer is a major global health issue accounting for 177,384 deaths in 2018 and it is
most prevalent in low-and middle-income countries. Enabling automation in the …
most prevalent in low-and middle-income countries. Enabling automation in the …
[HTML][HTML] The Xception model: A potential feature extractor in breast cancer histology images classification
Computer-assisted pathology analysis is an emerging field in health informatics and
extremely important for effective treatment. Herein, we demonstrated the ability of the pre …
extremely important for effective treatment. Herein, we demonstrated the ability of the pre …
Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: a systematic review
This systematic review analyses and describes the application and diagnostic accuracy of
Artificial Intelligence (AI) methods used for detection and grading of potentially malignant …
Artificial Intelligence (AI) methods used for detection and grading of potentially malignant …
Detection and classification of cancer from microscopic biopsy images using clinically significant and biologically interpretable features
A framework for automated detection and classification of cancer from microscopic biopsy
images using clinically significant and biologically interpretable features is proposed and …
images using clinically significant and biologically interpretable features is proposed and …
A review: The detection of cancer cells in histopathology based on machine vision
W He, T Liu, Y Han, W Ming, J Du, Y Liu, Y Yang… - Computers in Biology …, 2022 - Elsevier
Abstract Machine vision is being employed in defect detection, size measurement, pattern
recognition, image fusion, target tracking and 3D reconstruction. Traditional cancer detection …
recognition, image fusion, target tracking and 3D reconstruction. Traditional cancer detection …
Automatic classification of dual-modalilty, smartphone-based oral dysplasia and malignancy images using deep learning
With the goal to screen high-risk populations for oral cancer in low-and middle-income
countries (LMICs), we have developed a low-cost, portable, easy to use smartphone-based …
countries (LMICs), we have developed a low-cost, portable, easy to use smartphone-based …
AI-based carcinoma detection and classification using histopathological images: A systematic review
Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a
subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell …
subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell …