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 …
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 …
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 …
intelligence (AI) applications in otolaryngology, highlight its advances, and propose future …
Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection
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 …
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 …
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
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 …
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 …
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
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 …
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 …
Significance Accurate identification of tissues is critical for performing safe surgery.
Combining multispectral imaging (MSI) with deep learning is a promising approach to …
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 …
detect suspicious positions of benign vocal cord tumors in laparoscopic images and classify …