[HTML][HTML] Machine learning, IoT and 5G technologies for breast cancer studies: A review

HE Saroğlu, I Shayea, B Saoud, MH Azmi… - Alexandria Engineering …, 2024 - Elsevier
Cancer is a life-threatening ailment characterized by the uncontrolled proliferation of cells.
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …

Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization

XL Zhang, W Chen, BJ Wang, XF Chen - Neurocomputing, 2015 - Elsevier
The failure of rotating machinery can result in fatal damage and economic loss since rotating
machinery plays an important role in the modern manufacturing industry. The development …

Identification and characterization of colorectal cancer using Raman spectroscopy and feature selection techniques

S Li, G Chen, Y Zhang, Z Guo, Z Liu, J Xu, X Li… - Optics express, 2014 - opg.optica.org
This study aims to detect colorectal cancer with near-infrared Raman spectroscopy and
feature selection techniques. A total of 306 Raman spectra of colorectal cancer tissues and …

Study of support vector machine and serum surface-enhanced Raman spectroscopy for noninvasive esophageal cancer detection

SX Li, QY Zeng, LF Li, YJ Zhang… - … of biomedical optics, 2013 - spiedigitallibrary.org
The ability of combining serum surface-enhanced Raman spectroscopy (SERS) with support
vector machine (SVM) for improving classification esophageal cancer patients from normal …

Spatially-resolved multiply-excited autofluorescence and diffuse reflectance spectroscopy: Spectrolive medical device for skin in vivo optical biopsy

W Blondel, A Delconte, G Khairallah, F Marchal… - Electronics, 2021 - mdpi.com
This contribution presents the development of an optical spectroscopy device, called
SpectroLive, that allows spatially-resolved multiply-excited autofluorescence and diffuse …

Obstacle detection method based on RSU and vehicle camera fusion

S Ding, Y Xu, Q Zhang, J Yu, T Sun, J Ni, S Shi, X Kong… - Sensors, 2023 - mdpi.com
Road obstacle detection is an important component of intelligent assisted driving
technology. Existing obstacle detection methods ignore the important direction of …

Impact of optical clearing on ex vivo human skin optical properties characterized by spatially resolved multimodal spectroscopy

SM Zaytsev, M Amouroux, G Khairallah… - Journal of …, 2022 - Wiley Online Library
A spatially resolved multimodal spectroscopic device was used on a two‐layered “hybrid”
model made of ex vivo skin and fluorescent gel to investigate the effect of skin optical …

SVM optimization for brain tumor identification using infrared spectroscopic samples

H Fabelo, S Ortega, E Casselden, J Loh, H Bulstrode… - Sensors, 2018 - mdpi.com
The work presented in this paper is focused on the use of spectroscopy to identify the type of
tissue of human brain samples employing support vector machine classifiers. Two different …

Source separation approach for the analysis of spatially resolved multiply excited autofluorescence spectra during optical clearing of ex vivo skin

P Rakotomanga, C Soussen, G Khairallah… - Biomedical optics …, 2019 - opg.optica.org
Spatially resolved multiply excited autofluorescence spectroscopy is a valuable optical
biopsy technique to investigate skin UV-Visible optical properties in vivo in clinics. However …

Fast road obstacle detection method based on maximally stable extremal regions

X Yi, G Song, T Derong, G Dong… - International …, 2018 - journals.sagepub.com
Road obstacle detection is an important component of the advanced driver assistance
system, and to improve the speed and accuracy of road obstacle detection method is a vital …