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 …
Comprehensive review of surgical microscopes: technology development and medical applications
Significance: Surgical microscopes provide adjustable magnification, bright illumination, and
clear visualization of the surgical field and have been increasingly used in operating rooms …
clear visualization of the surgical field and have been increasingly used in operating rooms …
A systematic literature review of breast cancer diagnosis using machine intelligence techniques
Breast cancer is one of the most common diseases in women; it can have long-term
implications and can even be fatal. However, early detection, achieved through recent …
implications and can even be fatal. However, early detection, achieved through recent …
Tongue tumor detection in hyperspectral images using deep learning semantic segmentation
S Trajanovski, C Shan, PJC Weijtmans… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Objective: The utilization of hyperspectral imaging (HSI) in real-time tumor segmentation
during a surgery have recently received much attention, but it remains a very challenging …
during a surgery have recently received much attention, but it remains a very challenging …
Trends in deep learning for medical hyperspectral image analysis
U Khan, S Paheding, CP Elkin… - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning algorithms have seen acute growth of interest in their applications throughout
several fields of interest in the last decade, with medical hyperspectral imaging being a …
several fields of interest in the last decade, with medical hyperspectral imaging being a …
Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging
WC Liao, A Mukundan, C Sadiaza, YM Tsao… - Biomedical Optics …, 2023 - opg.optica.org
One of the leading causes of cancer deaths is esophageal cancer (EC) because identifying
it in early stage is challenging. Computer-aided diagnosis (CAD) could detect the early …
it in early stage is challenging. Computer-aided diagnosis (CAD) could detect the early …
Hyperspectral imaging for early diagnosis of diseases: a review
Hyperspectral Imaging (HSI) has grown to be one of the most crucial optical imaging
modalities with applications in numerous industries. The non‐invasive nature of HSI has led …
modalities with applications in numerous industries. The non‐invasive nature of HSI has led …
A configurable deep learning framework for medical image analysis
Abstract Artificial intelligence-based Medical Image Analysis (AI-MIA) has achieved
significant advantages in accuracy and efficiency in various biomedical applications …
significant advantages in accuracy and efficiency in various biomedical applications …
Blood cancer diagnosis using hyperspectral imaging combined with the forward searching method and machine learning
R Chen, T Luo, J Nie, Y Chu - Analytical Methods, 2023 - pubs.rsc.org
Hyperspectral imaging (HSI), a widely used biosensing technique, has been applied to
tumor detection. Rapid, accurate, and low-cost detection of blood cancer using …
tumor detection. Rapid, accurate, and low-cost detection of blood cancer using …
Artificial intelligence techniques in health informatics for oral cancer detection
Oral cancer is indeed a lethal disease with a complicated aetiology and a high mortality rate.
Artificial Amongst the most notable technological advancements in dentistry sciences is …
Artificial Amongst the most notable technological advancements in dentistry sciences is …