Many studies have recently used several deep learning methods for detecting skin cancer. However, hyperspectral imaging (HSI) is a noninvasive optics system that can obtain wavelength information on the location of cancer lesions and requires further investigation. Hyperspectral technology capture hundreds narrow bands electromagnetic spectrum both within outside visible range as well enhance distinction image features. The dataset from ISIC library was in this study to detect classify basis...

Abstract The exotic photophysical properties of organic–inorganic hybrid perovskite with long exciton lifetimes and small binding energy have appeared as promising front‐runners for next‐generation non‐volatile flash photomemory. However, the photo‐programming time photomemory limits its application on light‐fidelity (Li‐Fi), which requires high storage capacity short programming times. Herein, spatially addressable in polystyrene‐ block ‐poly(ethylene oxide) (PS‐ b ‐PEO)/perovskite...

This study uses hyperspectral imaging (HSI) and a deep learning diagnosis model that can identify the stage of esophageal cancer mark locations. simulates spectrum data from image using an algorithm developed in this which is combined with for classification single-shot multibox detector (SSD)-based identification system. Some 155 white-light endoscopic images 153 narrow-band were used to evaluate prediction model. The took 19 s predict results 308 test accuracy WLI NBI was 88 91%,...

Air pollution has emerged as a global problem in recent years. Particularly, particulate matter (PM2.5) with diameter of less than 2.5 μm can move through the air and transfer dangerous compounds to lungs human breathing, thereby creating major health issues. This research proposes large-scale, low-cost solution for detecting by combining hyperspectral imaging (HSI) technology deep learning techniques. By modeling visible-light HSI aerial camera, image acquired drone camera is endowed...

In this study, the combination of hyperspectral imaging (HSI) technology and band selection was coupled with color reproduction. The white-light images (WLIs) were simulated as narrow-band endoscopic (NBIs). As a result, blood vessel features in image became more noticeable, prediction performance improved. addition, single-shot multi-box detector model for predicting stage location esophageal cancer developed to evaluate results. A total 1780 images, including 845 WLIs 935 NBIs, used study....

Early detection of esophageal cancer has always been difficult, thereby reducing the overall five-year survival rate patients. In this study, semantic segmentation was used to predict and label in its early stages. U-Net as basic artificial neural network along with Resnet extract feature maps that will classify location cancer. A total 75 white-light images (WLI) 90 narrow-band (NBI) were used. These classified into three categories: normal, dysplasia, squamous cell carcinoma. After...

In this study, n-type MoS2 monolayer flakes are grown through chemical vapor deposition (CVD), and a p-type Cu2O thin film is via electrochemical deposition. The crystal structure of the analyzed transmission electron microscopy. verified with Raman spectroscopy, multiphoton excitation microscopy, atomic force photoluminescence (PL) measurements. After preliminary processing flakes, sample then transferred onto to complete p-n heterogeneous structure. Data confirmed scanning SHG, mapping...

In this study, a snapshot-based hyperspectral imaging (HSI) algorithm that converts RGB images to HSI is designed using the Raspberry Pi environment. A Windows-based Python application also developed control camera and processor. The mean gray values (MGVs) of two distinct regions interest (ROIs) are selected from three samples 100 NTD Taiwanese currency notes compared with counterfeit notes. Results suggest can be easily differentiated on basis MGV within shorter wavelengths, between 400 nm...

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...

This paper proposes a method to detect air pollution by applying hyperspectral imaging algorithm for visible light, near infrared, and far infrared. By assigning information images from monocular, thermal imaging, principal component analysis is performed on taken at different times obtain the solar radiation intensity. The Beer–Lambert law multivariate regression are used calculate PM2.5 PM10 concentrations during period, which compared with corresponding Taiwan Environmental Protection...

Diagnosis of early esophageal neoplasia, including dysplasia and superficial cancer, is a great challenge for endoscopists. Recently, the application artificial intelligence (AI) using deep learning in endoscopic field has made significant advancements diagnosing gastrointestinal cancers. In present study, we constructed single-shot multibox detector convolutional neural network different histological grades neoplasms evaluated diagnostic accuracy this computer-aided system. A total 936...

In this study, a biochip was fabricated using light-absorbing layer of silicon solar element combined with serrated, interdigitated electrodes and used to identify four different types cancer cells: CE81T esophageal cancer, OE21 A549 lung adenocarcinoma, TSGH-8301 bladder cells. A string pearls formed from dielectrophoretic aggregated cells because the serrated electrodes. Thus, were identified in parts, electron-hole pairs separated by photo-excited carriers through element. The...

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...

Esophageal squamous‐cell neoplasia (ESCN) is a common second primary found in patients with head‐and‐neck carcinoma (HNSCC). This study sought to identify the risk factors for synchronous ESCN and how they influence survival HNSCC patient. Eight hundred fifteen incident were prospectively recruited endoscopy screening using white‐light imaging, narrow‐band Lugol chromoendoscopy, pathological confirmation. Associated lifestyle clinicopathological data collected. The interquartile follow‐up...

Molybdenum disulfide (MoS2) was grown on a laser-processed periodic-hole sapphire substrate through chemical vapor deposition. The main purpose to investigate the mechanism of MoS2 growth in with periodic structure. By controlling amount and position precursor, adjusting temperature time, setting flow rate argon gas, grew region holes. A series various layer analyses were then confirmed by Raman spectroscopy, photoluminescence atomic force microscopy. Finally, studied transmission electron...

Abstract In this study, we present the growth of monolayer MoS 2 (molybdenum disulfide) film. Mo (molybdenum) film was formed on a sapphire substrate through e-beam evaporation, and triangular grown by direct sulfurization. First, observed under an optical microscope. The number layers analyzed Raman spectrum, atomic force microscope (AFM), photoluminescence spectroscopy (PL) measurement. Different regions have different conditions . is optimized controlling amount location precursors,...

Herein, we proposed a unique structural design for indium gallium nitride (InGaN) based blue resonant cavity micro-light-emitting diodes (RC-μ-LEDs), focusing on the design, fabrication, and relevant performance analyses. The RC-μ-LEDs possess three-layer staggered InGaN/GaN multiple quantum wells (MQWs) within nanoporous Distributed Bragg Reflectors (NP-DBRs) conventional DBRs, introducing light confinement such cavity. A passivation layer using atomic deposition (ALD) is adopted to reduce...

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...