Usefulness of gel immersion endoscopy for endoscopic resection in stomachs with residue by Hiroki Hayashi, MD, Yuji Ino, MD, Chihiro Iwashita, MD, PhD, Mio Sakaguchi, MD, Yoshimasa Miura, MD, PhD, Edward J. Despott, MD, FRCP, FEBGH, FASGE, FJGES, FESGE, MD (Res), Tomonori Yano, MD, PhD, Hironori Yamamoto, MD, PhD

“…Methods: The gel immersion method is a technique in which a transparent, viscous gel is injected into the lumen to secure the visual field. …”
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Image Fusion of High-Resolution DynaCT and T2-Weighted MRI for Image-Guided Programming of dDBS by Fadil Al-Jaberi, Matthias Moeskes, Martin Skalej, Melanie Fachet, Christoph Hoeschen

“…A semi-automated registration method was used, employing manual initialization due to dissimilar anatomical information between DynaCT and T2-weighted MRI. …”
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A Semi-Supervised Multi-Region Segmentation Framework of Bladder Wall and Tumor with Wall-Enhanced Self-Supervised Pre-Training by Jie Wei, Yao Zheng, Dong Huang, Yang Liu, Xiaopan Xu, Hongbing Lu

“…Visualization results indicated that our method can effectively reduce excessive segmentation artifacts outside the bladder, and improve the clinical significance of the segmentation results.…”
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An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Estimation by S. Du, H. Huang, K. Shen, Z. Liu, S. Tang

“…Trained on 50 million samples and tested on 2.8 million, the proposed model achieves an RMSE of 0.836, outperforming LightGBM (1.063) and TabNet (0.944). Visualization analyses indicate that our method can reveal the distribution differences of the dominant factors of GPP across various times and locations.…”
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A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting by Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen

“…The results show that the L-SKRidge method has an acceptable ability to provide accurate water level predictions. …”
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DNA Barcoding of Cardinalfish (Apogonidae) in Gilimanuk Bay, Bali, Indonesia by I Nyoman Giri Putra Putra, Gede Surya Indrawan, Elok Faiqoh

“…The phylogenetic tree was constructed using the Maximum Likelihood method and tree visualization was generated using iTOL V5. …”
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Unsupervised clustering based coronary artery segmentation by Belén Serrano-Antón, Manuel Insúa Villa, Santiago Pendón-Minguillón, Santiago Paramés-Estévez, Alberto Otero-Cacho, Diego López-Otero, Brais Díaz-Fernández, María Bastos-Fernández, José R. González-Juanatey, Alberto P. Muñuzuri

“…Additionally, the ability to visualize clusters and graphs from any cross-section enhances the method’s explainability, providing clinicians with deeper insights into vascular structures. …”
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MA-VoxelMorph: Multi-scale attention-based VoxelMorph for nonrigid registration of thoracoabdominal CT images by Qing Huang, Lei Ren, Tingwei Quan, Minglei Yang, Hongmei Yuan, Kai Cao

“…This paper aims to develop a nonrigid registration method of preoperative and intraoperative thoracoabdominal CT images in computer-assisted interventional surgeries for accurate tumor localization and tissue visualization enhancement. …”
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Investigating Flavonoids by HPTLC Analysis Using Aluminium Chloride as Derivatization Reagent by Sharmin Sultana, Md Lokman Hossain, Tom Sostaric, Lee Yong Lim, Kevin J. Foster, Cornelia Locher

“…While the traditional AlCl₃ colorimetric method using UV–Vis analysis provides valuable insights into the presence of flavonoids and allows derivation of the total flavonoid content (TFC) of a sample, HPTLC fingerprints obtained after spraying with AlCl₃ or NaNO₂-AlCl₃-NaOH enable the visualization of the various flavonoids present in a sample based on their respective absorption shifts, thus complementing the traditional TFC assay. …”
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Mixture of Expert-Based SoftMax-Weighted Box Fusion for Robust Lesion Detection in Ultrasound Imaging by Se-Yeol Rhyou, Minyung Yu, Jae-Chern Yoo

“…However, challenges such as speckle noise, low contrast, and diverse lesion morphology hinder its diagnostic accuracy. <b>Methods:</b> To address these issues, we propose CSM-FusionNet, a novel framework that integrates clustering, SoftMax-weighted Box Fusion (SM-WBF), and padding. …”
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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

“…This paper proposes some insightful pre-processing methods that significantly improve the classification performance of these MRI images. …”
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A successive framework for brain tumor interpretation using Yolo variants by S. Priyadharshini, Ramasubramanian Bhoopalan, D. Manikandan, Krishnaraj Ramaswamy

“…Preprocessing involves log transformation for intensity normalization, histogram equalization for contrast enhancement, and edge-based ROI extraction. …”
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Abnormal traffic detection based on image recognition and attention-residual optimization by Pengfei Wang, Xinpeng Chen, Jinan Shen, Zhenwu Xu, Fang Liang, Qiuyang Du

“…Consequently, there has been a sharp increase in network attacks, highlighting the need for enhanced network security methods. Network intrusion detection systems play a crucial role in network security. …”
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Synergistic fusion: An integrated pipeline of CLAHE, YOLO models, and advanced super-resolution for enhanced thermal eye detection. by Persiya J, Sasithradevi A

“…To improve image clarity, we employ Contrast Limited Adaptive Histogram Equalization (CLAHE). Subsequently, we explore the effectiveness of advanced YOLO models (YOLOv8 and YOLOv9) for accurate eye detection. …”
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Comparison of leg length discrepancy after total hip arthroplasty: Direct anterior and posterior lateral approach. by Yang Lu, Xiang Li, Yihe Hu, Fengchao Zhao

“…Few articles have compared LLD after THA by different surgical approaches.<h4>Methods</h4>A total of 358 consecutive patients who underwent primary THA between January 2016 and November 2018 were retrospectively reviewed. …”
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A novel attention based vision transformer optimized with hybrid optimization algorithm for turmeric leaf disease detection by R. Selvaraj, M. S. Geetha Devasena

“…However, the existing methods for leaf disease detection exhibit limitations in extracting complex leaf features which leads to lower classification accuracy. …”
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Predictive Capability Evaluation of Micrograph-Driven Deep Learning for Ti6Al4V Alloy Tensile Strength Under Varied Preprocessing Strategies by Yuqi Xiong, Wei Duan

“…Gamma correction maximized classification accuracy, whereas histogram equalization achieved the highest improvement for regression.…”
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Investment Function of Economic Growth in Russia by O. S. Sukharev

“…The prospect of further research is an assessment of the equalization of sectoral risks affecting the distribution of investments and investment dynamics.…”
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Robust Face Recognition Using Deep Learning and Ensemble Classification by Pavani Chitrapu, Mahesh Kumar Morampudi, Hemantha Kumar Kalluri

“…Poor lighting conditions can obscure facial features, introduce shadows, and distort spatial relationships, while changes in pose are critical for accurate identification. Existing methods often struggle to strike a balance between accuracy, computational efficiency, and robustness. …”
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Grid-Based Software for Quantification of Diabetic Retinal Nonperfusion on Ultra-Widefield Fluorescein Angiography by Amro Omari, Caitlyn Cooper, Eric B. Desjarlais, Maverick Cook, Maria Fernanda Abalem, Chris A. Andrews, Katherine Joltikov, Rida M. Khan, Andy Chen, Andrew DeOrio, Thomas W. Gardner, Yannis M. Paulus, K. Thiran Jayasundera

“…Retinal hypoperfusion is a critical risk factor for proliferative DR, yet quantifying it reliably remains a challenge. <b>Methods:</b> This study evaluates the efficacy of the Michigan grid method, a software-based grading system, in detecting retinal hypoperfusion compared to the traditional freehand method. …”
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