- Esophageal Cancer Research and Treatment
- Remote-Sensing Image Classification
- Gas Sensing Nanomaterials and Sensors
- Cutaneous Melanoma Detection and Management
- Optical Imaging and Spectroscopy Techniques
- Lung Cancer Diagnosis and Treatment
- Analytical Chemistry and Sensors
- Water Quality Monitoring and Analysis
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced biosensing and bioanalysis techniques
- Optical Coherence Tomography Applications
- Brain Tumor Detection and Classification
- Planetary Science and Exploration
- Cultural Heritage Materials Analysis
- Skin Protection and Aging
- Spacecraft and Cryogenic Technologies
- MXene and MAX Phase Materials
- Color Science and Applications
- Water Quality Monitoring Technologies
- Spectroscopy and Chemometric Analyses
- Colorectal Cancer Screening and Detection
- Acoustic Wave Resonator Technologies
- Bone Tissue Engineering Materials
- COVID-19 Pandemic Impacts
- Infrared Thermography in Medicine
National Chung Cheng University
2023-2025
Innovative Research (United States)
2024
Ming Chi University of Technology
2021-2022
Skin cancer is the predominant form of worldwide, including 75% all cases. This study aims to evaluate effectiveness spectrum-aided visual enhancer (SAVE) in detecting skin cancer. paper presents development a novel algorithm for snapshot hyperspectral conversion, capable converting RGB images into (HSI). The integration band selection with HSI has facilitated identification set narrow (NBI) from images. utilizes various iterations You Only Look Once (YOLO) machine learning (ML) framework...
Esophageal carcinoma (EC) is a prominent contributor to cancer-related mortality since it lacks discernible features in its first phases. Multiple studies have shown that narrow-band imaging (NBI) has superior accuracy, sensitivity, and specificity detecting EC compared white light (WLI). Thus, this study innovatively employs color space linked décor transform WLIs into NBIs, offering novel approach enhance the detection capabilities of early stages. In total 3415 WLI along with...
Early detection of early-stage esophageal cancer (ECA) is crucial for timely intervention and improved treatment outcomes. Hyperspectral imaging (HSI) artificial intelligence (AI) technologies offer promising avenues enhancing diagnostic accuracy in this context. This study utilized a dataset comprising 3984 white light images (WLIs) 3666 narrow-band (NBIs). We employed the Yolov5 model, state-of-the-art object algorithm, to predict early ECA based on provided images. The was divided into...
The early detection of esophageal cancer presents a substantial difficulty, which contributes to its status as primary cause cancer-related fatalities. This study used You Only Look Once (YOLO) frameworks, specifically YOLOv5 and YOLOv8, predict detect early-stage EC by using dataset sourced from the Division Gastroenterology Hepatology, Ditmanson Medical Foundation, Chia-Yi Christian Hospital. comprised 2741 white-light images (WLI) hyperspectral narrowband (HSI-NBI). They were divided into...
This study utilizes spectral analysis to quantify water pollutants by analyzing the images of biological oxygen demand (BOD). In this study, a total 2545 depicting quality pollution were generated due absence standardized detection method. A novel snap-shot hyperspectral imaging (HSI) conversion algorithm has been developed conduct on traditional RGB images. order demonstrate effectiveness HSI algorithm, two distinct three-dimensional convolution neural networks (3D-CNN) are employed train...
Background: Melanoma, a highly aggressive form of skin cancer, necessitates early detection to significantly improve survival rates. Traditional diagnostic techniques, such as white-light imaging (WLI), are effective but often struggle differentiate between melanoma subtypes in their stages. Methods: The emergence the Spectrum-Aided Vison Enhancer (SAVE) offers promising alternative by utilizing specific wavelength bands enhance visual contrast lesions. This technique facilitates greater...
Smart cities are urban areas that use advanced technologies to make living better through efficient resource management, sustainable development, and improved quality of life. Hyperspectral imaging (HSI) is a noninvasive nondestructive technique revolutionizing smart by offering real-time monitoring analysis capabilities across multiple sectors. In contrast with conventional technologies, HSI capable capturing data wider range wavelengths, obtaining more detailed spectral information, in...
The identification of gastrointestinal bleeding holds significant importance in wireless capsule endoscopy examinations, primarily because is the most prevalent anomaly within tract. Moreover, serves as a crucial indicator or manifestation various other disorders, including ulcers, polyps, tumors, and Crohn's disease. Gastrointestinal may be classified into two categories: active bleeding, which refers to presence continuing inactive can potentially manifest any region system. Currently,...
Simultaneous sensing of multiple gases by a single fluorescent-based gas sensor is utmost importance for practical applications. Such strongly hindered cross-sensitivity effects. In this study, we propose novel analysis method to ameliorate such hindrance. The trial used here was fabricated coating platinum(II) meso-tetrakis(pentafluorophenyl)porphyrin (PtTFPP) and eosin-Y dye molecules on both sides filter paper O2 NH3 simultaneously. fluorescent peak intensities the dyes can be quenched...
Video capsule endoscopy (VCE) is increasingly used to decrease discomfort among patients owing its small size. However, VCE has a major drawback of not having narrow band imaging (NBI) functionality. The current the traditional white light (WLI) only, which poor performance in computer-aided detection (CAD) different types cancer compared NBI. Specific cancers, such as esophageal (EC), do exhibit any early biomarkers, making their difficult. In most cases, symptoms are unnoticeable, and EC...
Sensitivity is one of the crucial factors in determining quality a fluorescence/phosphorescence-based gas sensor, and estimated from measurement responses (I0/I, where I0 I refer to measured optical intensity sensor absence presence analyte molecules) at various concentrations analytes. In this work, we demonstrate phosphorescence-based oxygen sensors fabricated on highly porous anodic aluminum oxide (AAO) membranes showing dramatically high response. These exploit enormous surface area AAO...
World Health Organization (WHO) declared Coronavirus Disease 2019 (COVID-19), caused by the virus named Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2), as a global pandemic on March 11, 2020. Several researchers have used various statistical models and techniques to study forecast trend of spread magnitude impact SARS-CoV-2. ARIMA is one such model that has been widely for this purpose, but in most cases, was not optimized suitably. In paper, music-inspired metaheuristic...
This research aims to explore the potential application of this approach in production biosensor chips. The chip is utilized for identification and examination early-stage lung cancer cells. findings optical microscope were corroborated by field emission scanning electron microscopy, which provided further evidence that growth MoS 2 uniform there minimal disruption electrode, hence minimizing likelihood an open circuit creation. Furthermore, bilayer structure produced has been validated...
This study introduces a novel method for detecting and measuring transparent glass sheets using hyperspectral imaging (HSI). The main goal of this is to create conversion technique that can accurately display spectral information from collected images, particularly in the visible light spectrum (VIS) near-infrared (NIR) areas. enables capture relevant data when used with images provided by industrial cameras. next step investigation principal component analysis examine obtained derived...
Band selection is a common approach to reduce the data dimensionality of hyperspectral imagery. It extracts several bands importance in some sense by taking advantage high spectral correlation. In medical imaging, narrow-band imaging (NBI) an technique for endoscopic diagnostic tests, where light specific blue and green wavelengths used enhance detail certain aspects surface mucosa. A special filter electronically activated switch endoscope leading use ambient 415 nm (blue) 540 (green)....
Video capsule endoscopy (VCE) is increasingly used to decrease the discomfort among patients owing its small size. However, VCE has a major drawback of not having narrow band imaging (NBI) functionality. The current traditional white light (WLI) only, which poor performance in computer-aided detection (CAD) different types cancer compared with NBI. Specific cancers, such as esophageal (EC), do exhibit any early biomarkers, making their difficult. In most cases, symptoms are unnoticeable, and...
Background Dental implants are critical for restoring functionality and aesthetics in patients with missing teeth. The all-on-four treatment concept utilizes four dental to support a full-arch prosthesis. Material choice these plays crucial role the long-term success of treatment, affecting everything from biomechanical stability osseointegration patient comfort. Aim purpose this study is analyze performance three different materials used implant designs through finite element analysis...
Abstract NASA’s Artemis program aims to land on the Moon by 2024. Returning will establish a base for future crewed Mars missions. Many efforts are underway provide astronauts with equipment, housing, and other assistance as prospect of returning Moon. Mass reduction, volume energy efficiency improvements, operational optimization goals. Astronauts urinate defecate in microgravity lunar gravity after eating drinking. During their time inside spacecraft outside spacesuits, require toilet that...
Abstract NASA’s latest lunar exploration program is Artemis. In-situ Resource Utilization (ISRU) will become more important as human space travel moves toward a presence. CLPS helps the Artemis Program develop and use compact autonomous landers rovers. A series of micro-rovers be launched in coming years to collect data conduct scientific research on moon. Subterranean lava tubes celestial bodies are promising habitats for expansion beyond Earth. Due its lack atmosphere, moon vulnerable...