CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
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Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence by Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam

“…Abstract Background and objective Early detection and classification of skin cancer are critical for improving patient outcomes. Dermoscopic image analysis using Computer-Aided Diagnostics (CAD) is a powerful tool to assist dermatologists in identifying and classifying skin lesions. …”
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Enhancement of Chest X-Ray Images to Improve Screening Accuracy Rate Using Iterated Function System and Multilayer Fractional-Order Machine Learning Classifier by Chia-Hung Lin, Jian-Xing Wu, Chien-Ming Li, Pi-Yun Chen, Neng-Sheng Pai, Ying-Che Kuo

“…Pooling is performed to reduce the dimensions of the feature patterns and speed up complex computations. A gray relational analysis-based classifier is used to identify the possible classes of the signs and symptoms of lung diseases. …”
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Multi-scale feature fusion and feature calibration with edge information enhancement for remote sensing object detection by Lihua Yang, Yi Gu, Hao Feng

“…Meanwhile, the number of parameters was reduced by 20.22%, demonstrating not only improved detection accuracy but also lower computational cost, highlighting its practical application potential in remote sensing image analysis.…”
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Dual-Ascent-Inspired Transformer for Compressed Sensing by Rui Lin, Yue Shen, Yu Chen

“…Deep learning has revolutionized image compressed sensing (CS) by enabling lightweight models that achieve high-quality reconstruction with low latency. …”
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DeSPPNet: A Multiscale Deep Learning Model for Cardiac Segmentation by Elizar Elizar, Rusdha Muharar, Mohd Asyraf Zulkifley

“…Objectives: The objective of this study is to develop a multiscale deep learning model to segment cardiac organs based on MRI imaging data. Good segmentation performance is difficult to achieve due to the complex nature of the cardiac structure, which includes a variety of chambers, arteries, and tissues. …”
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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction by Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang

“…We employed the ExG (Excess Green) algorithm and the maximum inter-class variance method to develop an algorithm for extracting canopy coverage from image segmentation. Subsequently, Spearman correlation analysis was utilized to select the combination of canopy coverage and environmental data, followed by the random forest feature importance ranking method to identify the most optimal feature variables. …”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…Methodology In this study, we conducted a comprehensive analysis of artificial intelligence (AI) applications in the classification of skin cancer. …”
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Determining the optimal choice of attenuation filters and propagation distance for polychromatic phase-contrast micro-computed tomography of a multi-material electromotor using syn... by Matthias Diez, Simon Zabler

“…SNR2 (where SNR is signal-to-noise ratio) power spectra and modulation transfer (MTF) are evaluated independently from two-dimensional projections supporting volume image analysis for which image sharpness depends strongly on the digital filters (Paganin and Wiener) which are applied along with filtered back-projection. …”
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Development of a novel, high-throughput imaged capillary isoelectric focusing-Western method to characterize charge heterogeneity of monoclonal antibody heavy and light chains by Gangadhar Dhulipala, Alanna Broszeit, Kun Lu, Nisha Palackal, Erica Pyles

“…ChromiCE was developed as an alternative approach to provide quantitative analysis, but the method is also labor intensive, requiring separation of the HC and LC by chromatography before imaged capillary isoelectric focusing (iCIEF) analysis. …”
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La photographie au service d’un mythe fondateur de la nation : l’exemple des images de la Révolution mexicaine by Marion Gautreau

“…The few photographs that survived this drastic process of reduction convey a purely symbolic image of the Revolution, smoothing and simplifying the event’s complexity. …”
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Primary analysis of the trajektory of floating particles in compound channel by Marcin Krukowski, Piotr Siwicki

“…Material and methods: Model tests were carried out on a physical concrete model of a straight open channel with symmetrically complex trapezoidal cross section. On the model, the study of particle motion was carried out using the digital image recording technique with the analysis of the motion of the dosed indicator (solid particles), (PIV) (Particle Image Velocimetry), allowing to determine the basic parameters characterizing the process of their transport in the subsurface layer of water in the channel. …”
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LMD²F-Net: Layered Multi-Scale Dual-Branch Dual-Temporal Fusion Network for Medical Image Segmentation by Siyuan Ye, Yan Wei

“…Image segmentation techniques play a crucial role in medical image analysis, directly impacting disease diagnosis, treatment planning, and efficacy evaluation. …”
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Digital Double-Pulse Holographic Interferometry for Vibration Analysis by H.J. Tiziani, G. Pedrini

“…The phases of the two reconstructed wave fields are calculated from the complex amplitudes. The deformation is obtained from the phase difference. …”
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Intelligent Photolithography Corrections Using Dimensionality Reductions by Parag Parashar, Chandni Akbar, Tejender S. Rawat, Sparsh Pratik, Rajat Butola, Shih H. Chen, Yung-Sung Chang, Sirapop Nuannimnoi, Albert S. Lin

“…In this work, we use dimensionality reduction (DR) algorithms to reduce the computation time of complex OPC/EPC problems while the prediction accuracy is maintained. …”
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Clinical Results of All-Inside Lateral Ankle Ligament Complex Repair were Comparable to Open Brostrom Procedure in High-Demand Patients with Chronic Ankle Instability: Randomized C... by Sung Hyun Lee MD, PhD, Gyeong Hun Lim MD

“…Radiologic evaluations were conducted preoperatively and at 2 years postoperatively using stress radiographs and axial view magnetic resonance imaging (MRI). A subgroup analysis was also performed according to arthroscopic ligament quality (excellent to fair vs. poor). …”
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Targeting the brain’s glymphatic pathway: A novel therapeutic approach for cerebral small vessel disease by Yuhui Ma, Yan Han

“…The review also discussed the direct evidence of glymphatic dysfunction in patients and animal models exhibiting two subtypes of cerebral small vessel disease: arteriolosclerosis-related cerebral small vessel disease and amyloid-related cerebral small vessel disease. Diffusion tensor image analysis along the perivascular space is an important non-invasive tool for assessing the clearance function of the glymphatic system. …”
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Machine Learning for Chronic Kidney Disease Detection from Planar and SPECT Scintigraphy: A Scoping Review by Dunja Vrbaški, Boban Vesin, Katerina Mangaroska

“…Machine learning (ML) holds promise for enhancing image analysis and supporting early CKD diagnosis. …”
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Harmonization of MRI sequences across ERN EpiCARE centers by Sophie Adler, Felice D'Arco, Kshitij Mankad, Martin Kyncl, Alexis Arzimanoglou, Petr Marusic

“…The European Reference Network for Rare and Complex Epilepsies, EpiCARE, includes 50 centers, across 26 countries, with expertise in epilepsy. …”
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Procedure for Microscopic Analysis of Red Blood Cell Membranes by V. V. Moroz, A. M. Chernysh, E. K. Kozlova, O. E., Gudkova, V. A. Sergunova, E. A. Myagkova, A. N. Kuzovlev

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