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 …

An improvised deep-learning-based mask R-CNN model for laryngeal cancer detection using CT images

PK Sahoo, S Mishra, R Panigrahi, AK Bhoi… - Sensors, 2022 - mdpi.com
Recently, laryngeal cancer cases have increased drastically across the globe. Accurate
treatment for laryngeal cancer is intricate, especially in the later stages. This type of cancer is …

Advances in image‐based artificial intelligence in otorhinolaryngology–head and neck surgery: a systematic review

Q Wu, X Wang, G Liang, X Luo, M Zhou… - … –Head and Neck …, 2023 - Wiley Online Library
Objective To update the literature and provide a systematic review of image‐based artificial
intelligence (AI) applications in otolaryngology, highlight its advances, and propose future …

Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection

R Leon, H Fabelo, S Ortega, IA Cruz-Guerrero… - NPJ Precision …, 2023 - nature.com
Brain surgery is one of the most common and effective treatments for brain tumour. However,
neurosurgeons face the challenge of determining the boundaries of the tumour to achieve …

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 …

Evaluation of preprocessing methods on independent medical hyperspectral databases to improve analysis

B Martinez-Vega, M Tkachenko, M Matkabi, S Ortega… - Sensors, 2022 - mdpi.com
Currently, one of the most common causes of death worldwide is cancer. The development
of innovative methods to support the early and accurate detection of cancers is required to …

Review on the application of hyperspectral imaging technology of the exposed cortex in cerebral surgery

Y Wu, Z Xu, W Yang, Z Ning, H Dong - Frontiers in Bioengineering …, 2022 - frontiersin.org
The study of brain science is vital to human health. The application of hyperspectral imaging
in biomedical fields has grown dramatically in recent years due to their unique optical …

Intraoperative in vivo imaging modalities in head and neck cancer surgical margin delineation: A systematic review

K Young, E Ma, S Kejriwal, T Nielsen, SS Aulakh… - Cancers, 2022 - mdpi.com
Simple Summary The complete removal of cancerous tissue is an important predictor of
patient outcomes after surgery, in particular for head and neck cancer surgery. Normally …

Signal to noise ratio quantifies the contribution of spectral channels to classification of human head and neck tissues ex vivo using deep learning and multispectral …

GS Liu, JA Shenson, JE Farrell… - Journal of Biomedical …, 2023 - spiedigitallibrary.org
Significance Accurate identification of tissues is critical for performing safe surgery.
Combining multispectral imaging (MSI) with deep learning is a promising approach to …

Convolutional neural network-based vocal cord tumor classification technique for home-based self-prescreening purpose

GH Kim, YJ Hwang, H Lee, ES Sung… - BioMedical Engineering …, 2023 - Springer
Background In this study, we proposed a deep learning technique that can simultaneously
detect suspicious positions of benign vocal cord tumors in laparoscopic images and classify …