Development of an artificial intelligence-based algorithm to classify images acquired with an intraoral scanner of individual molar teeth into three categories. by Nozomi Eto, Junichi Yamazoe, Akiko Tsuji, Naohisa Wada, Noriaki Ikeda

“…<h4>Objective</h4>Our goal is to automate the dental filing process by using intraoral scanner images. In this study, we generated and evaluated an artificial intelligence-based algorithm that classified images of individual molar teeth into three categories: (1) full metallic crown (FMC); (2) partial metallic restoration (In); or (3) sound tooth, carious tooth or non-metallic restoration (CNMR).…”
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An artificial intelligence algorithm for the detection of pulmonary ground-glass nodules on spectral detector CT: performance on virtual monochromatic images by Zhong-Yan Ma, Hai-lin Zhang, Fa-jin Lv, Wei Zhao, Dan Han, Li-chang Lei, Qin Song, Wei-wei Jing, Hui Duan, Shao-Lei Kang

“…Abstract Background This study aims to assess the performance of an established an AI algorithm trained on conventional polychromatic computed tomography (CT) images (CPIs) to detect pulmonary ground-glass nodules (GGNs) on virtual monochromatic images (VMIs), and to screen the optimal virtual monochromatic energy for the clinical evaluation of GGNs. …”
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A Hybrid Image Registration for Large Global and Non-Linear Local Deformed Images by Issa W. AlHmoud, Balakrishna Gokaraju, Marwan Bikdash

“…This paper presents a process for improving image registration using a fusion of established image registration techniques, such as the Feature-Based Linear (FBL) and Demons methods, to overcome their limitations. …”
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Fast Frequency-Domain Compressed Sensing Analysis for High-Density Super-Resolution Imaging Using Orthogonal Matching Pursuit by Saiwen Zhang, Jingjing Wu, Danni Chen, Siwei Li, Bin Yu, Junle Qu

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Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm by Abdel-Hamid M. Emara, Ghada Atteia, Jawad Hasan Alkhateeb

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Fusion of transfer learning with nature-inspired dandelion algorithm for autism spectrum disorder detection and classification using facial features by G. Elangovan, N. Jagadish Kumar, J. Shobana, M. Ramprasath, Gyanendra Prasad Joshi, Woong Cho

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Voxelwise characterization of noise for a clinical photon-counting CT scanner with a model-based iterative reconstruction algorithm by Luigi Masturzo, Patrizio Barca, Luca De Masi, Daniela Marfisi, Antonio Traino, Filippo Cademartiri, Marco Giannelli

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Research on Defect Detection of Bare Film in Landfills Based on a Temperature Spectrum Model by Feixiang Jia, Yayu Chen, Wei Hao

“…Finally, the Canny operator was used to detect the edges of the processed images to recognize the contour of the welding defect. …”
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A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm by Fang Zhou, Zhikuan Jiao, Guoqing Shen, Mengdao Xing, Marina Gashinova

“…At the same time, considering the problem of low utilization of spectrum in multiangle imaging SAR, an improved range migration algorithm is proposed, which can effectively increase the utilization of the spectrum for data processing. …”
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Superpixel Segmentation Algorithm by Spatial Constrained Density Clustering by HAN Jian-hui, TANG Jun-chao

“…The superpixel segmentation is an important pre-processing step in computer image processing. Thetraditional superpixel segmentation algorithm based on density clustering is better for boundary processing，but the resulting superpixel shape is irregular. …”
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A simplified approach for efficiency analysis of machine learning algorithms by Muthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya

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The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…Abstract This study aims to address the issues of accuracy and efficiency in sculpture image classification. Due to the diversity and complexity of sculpture images, traditional image processing algorithms perform poorly in capturing the sculptures’ intricate shapes and structural features, resulting in suboptimal classification and recognition performance. …”
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COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier by Kenan Morani, Esra Kaya Ayana, Dimitrios Kollias, Devrim Unay

“…Additionally, investigating the integration of advanced image processing techniques, such as automated region of interest detection and segmentation algorithms, could enhance the efficiency and accuracy of COVID-19 diagnosis.…”
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Prototype Mobile Vision System for Automatic Length Estimation of Olive Flounder (<i>Paralichthys olivaceus</i>) in Indoor Aquaculture by Inyeong Kwon, Hang Thi Phuong Nguyen, Paththige Waruni Prasadini Fernando, Hieyong Jeong, Sungju Jung, Taeho Kim

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Real‐time estimation of olive flounder growth in indoor aquaculture using cameras combined with a grid by Hang Thi Phuong Nguyen, Myoungjae Jun, Hieyong Jeong

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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

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SAR Images Change Detection Based on Attention Mechanism-Convolutional Wavelet Neural Network by Jiahui E, Lu Wang, Chunhui Zhao, P. Takis Mathiopoulos, Tomoaki Ohtsuki, Fumiyuki Adachi

“…As synthetic aperture radar (SAR) image change detection can continuously acquire target information under all weather conditions, it has been used in the past for various applications. …”
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Blind Infrared Remote-Sensing Image Deblurring Algorithm via Edge Composite-Gradient Feature Prior and Detail Maintenance by Xiaohang Zhao, Mingxuan Li, Ting Nie, Chengshan Han, Liang Huang

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Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology by Xu Zhaosheng, Liao Zhongming, Xiao Xiaoyong, Ahmad Suzana, Mat Diah Norizan, Ismail Azlan

“…Using Improved Multi-Scale Adaptive Feature Fusion Technology (IMSAFFT), this work suggests a real-time traffic information identification method to fix the issues of low detection accuracy of road scenes and high false detection rates in panoramic video images. In addition, a semantic recognition algorithm for a road scene based on image data is suggested. …”
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Automated image acquisition system for visual inspection with positioning error correction by Toma TANIGUCHI, Hidenori NAKATSUJI, Isamu NISHIDA

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