Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview

H Mahmood, M Shaban, N Rajpoot… - British journal of …, 2021 - nature.com
Background This paper reviews recent literature employing Artificial Intelligence/Machine
Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using …

In-vivo and ex-vivo tissue analysis through hyperspectral imaging techniques: revealing the invisible features of cancer

M Halicek, H Fabelo, S Ortega, GM Callico, B Fei - Cancers, 2019 - mdpi.com
In contrast to conventional optical imaging modalities, hyperspectral imaging (HSI) is able to
capture much more information from a certain scene, both within and beyond the visual …

Comprehensive review of surgical microscopes: technology development and medical applications

L Ma, B Fei - Journal of biomedical optics, 2021 - spiedigitallibrary.org
Significance: Surgical microscopes provide adjustable magnification, bright illumination, and
clear visualization of the surgical field and have been increasingly used in operating rooms …

Intraoperative imaging in pathology-assisted surgery

FJ Voskuil, J Vonk, B van der Vegt, S Kruijff… - Nature biomedical …, 2022 - nature.com
The pathological assessment of surgical specimens during surgery can reduce the
incidence of positive resection margins, which otherwise can result in additional surgeries or …

Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain

H Fabelo, M Halicek, S Ortega, M Shahedi, A Szolna… - Sensors, 2019 - mdpi.com
The main goal of brain cancer surgery is to perform an accurate resection of the tumor,
preserving as much normal brain tissue as possible for the patient. The development of a …

Deep learning in medical hyperspectral images: A review

R Cui, H Yu, T Xu, X Xing, X Cao, K Yan, J Chen - Sensors, 2022 - mdpi.com
With the continuous progress of development, deep learning has made good progress in the
analysis and recognition of images, which has also triggered some researchers to explore …

Hyperspectral imaging in wound care: a systematic review

G Saiko, P Lombardi, Y Au, D Queen… - International wound …, 2020 - Wiley Online Library
Multispectral and hyperspectral imaging (HSI) are emerging imaging techniques with the
potential to transform the way patients with wounds are cared for, but it is not clear whether …

Diagnostic approaches for COVID-19: lessons learned and the path forward

M Alafeef, D Pan - ACS nano, 2022 - ACS Publications
Coronavirus disease 2019 (COVID-19) is a transmitted respiratory disease caused by the
infection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although …

Feedforward artificial neural network-based colorectal cancer detection using hyperspectral imaging: a step towards automatic optical biopsy

B Jansen-Winkeln, M Barberio, C Chalopin, K Schierle… - Cancers, 2021 - mdpi.com
Simple Summary Detection of colorectal carcinoma is performed visually by investigators
and is confirmed pathologically. With hyperspectral imaging, an expanded spectral range of …

Hyperspectral imaging for diagnosis and detection of ex-vivo breast cancer

IH Aboughaleb, MH Aref, YH El-Sharkawy - … and Photodynamic Therapy, 2020 - Elsevier
Background and purpose Breast cancer is one of the most widely recognized tumors..
Diagnosis made in the early stage of disease may imporve outcomes. The discovery of …