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 …
A densely connected causal convolutional network separating past and future data for filling missing PM2. 5 time series data
P Yuan, Y Jiao, J Li, Y Xia - Heliyon, 2024 - cell.com
Air pollution poses a significant threat to human health and the environment globally.
Precise analysis and prediction of pollutant concentrations are essential for monitoring and …
Precise analysis and prediction of pollutant concentrations are essential for monitoring and …
Evaluation of Spectrum-Aided Visual Enhancer (SAVE) in Esophageal Cancer Detection Using YOLO Frameworks
The early detection of esophageal cancer presents a substantial difficulty, which contributes
to its status as a primary cause of cancer-related fatalities. This study used You Only Look …
to its status as a primary cause of cancer-related fatalities. This study used You Only Look …
Novel Design of a Sweeping 6-Degree of Freedom Lunar Penetrating Radar
View Video Presentation: https://doi. org/10.2514/6.2023-4124. vid Our knowledge about the
way the highlands located on the far side of the lunar surface were formed and the …
way the highlands located on the far side of the lunar surface were formed and the …
Spriallift Mechanism Based Drill for Deep Subsurface Lunar Exploration
View Video Presentation: https://doi. org/10.2514/6.2023-4123. vid Because of the 13-
degree inclination of the Moon, our knowledge and comprehension of the permanently …
degree inclination of the Moon, our knowledge and comprehension of the permanently …
[HTML][HTML] Evaluation of Band Selection for Spectrum-Aided Visual Enhancer (SAVE) for Esophageal Cancer Detection
YC Chen, R Karmakar, A Mukundan… - Journal of …, 2025 - pmc.ncbi.nlm.nih.gov
Band selection is a common approach to reduce the data dimensionality of hyperspectral
imagery. It extracts several bands of importance in some sense by taking advantage of high …
imagery. It extracts several bands of importance in some sense by taking advantage of high …
Edge-cloud computing cooperation detection of dust concentration for risk warning research
Q Su, H Wang, H Zhao, Y Chu, J Li, X Lyu… - Journal of Cloud …, 2024 - Springer
An edge-cloud computing collaborative dust concentration detection architecture is
proposed for real-time operation of intelligent algorithms to reduce the warning delay. And …
proposed for real-time operation of intelligent algorithms to reduce the warning delay. And …
Design of a Foldable Laser-Based Energy Transmission System for a Mini Lunar Rover
The Lunar far side is a relatively untouched landmass that constitutes a very distinctive
scientific arena. Even though there are many interesting particulars on the far side, finding …
scientific arena. Even though there are many interesting particulars on the far side, finding …
Detection of Air Pollution using Hyperspectral Imaging
This study employed novel hyperspectral imaging (HSI) algorithm to quantify air pollution
through spectral analysis of particulate matter (PM2. 5) images. Two models, HSI-3DCNN …
through spectral analysis of particulate matter (PM2. 5) images. Two models, HSI-3DCNN …
Early esophageal detection using hyperspectral engineering and convolutional neural network
A Mukundan, YM Tsao… - Optics in Health Care and …, 2023 - spiedigitallibrary.org
The current article introduces an innovative methodology for the categorization and
identification of esophageal cancer through the utilization of hyperspectral imaging (HSI) …
identification of esophageal cancer through the utilization of hyperspectral imaging (HSI) …