Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey by Ahmed Almazroa, Ritambhar Burman, Kaamran Raahemifar, Vasudevan Lakshminarayanan

“…Examining the head of optic nerve (cup-to-disc ratio) is very important for diagnosing glaucoma and for patient monitoring after diagnosis. Images of optic disc and optic cup are acquired by fundus camera as well as Optical Coherence Tomography. …”
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Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series by Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu

“…The classification of image time series has potential significance in the field of land-cover analysis with the increasing number of remote sensing images. …”
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FFUNet: A novel feature fusion makes strong decoder for medical image segmentation by Junsong Xie, Renju Zhu, Zezhi Wu, Jinling Ouyang

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Characterization of paleodrainages in desert regions of Saudi Arabia multisatellite images with field based study by Mashael M. Al Saud

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Goya dans l’historiographie française du xixe siècle : images et textes by Agnès Gué

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Real-Time G-Protein-Coupled Receptor Imaging to Understand and Quantify Receptor Dynamics by María S. Aymerich, J. López-Azcárate, J. Bonaventura, G. Navarro, D. Fernández-Suárez, V. Casadó, F. Mayor, C. Lluís, M. Valencia, J. Artieda, Rafael Franco

“…Thus, we believe that live imaging of GPCRs using spinning disk confocal image analysis constitutes a powerful tool to study of receptor dynamics.…”
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Noise Elimination and Contour Detection Based on Innovative Target Image Contour Coding Algorithm by Siming Meng

“…However, the contour is also an important feature for image shape recognition. In this paper, a good target image contour coding algorithm was adopted, and an LCV segmentation model with good image boundary acquisition capability that can reflect the target image contour features was selected for the original image contour segmentation. …”
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Repeatability, reproducibility, and the effects of radiotherapy on radiomic features of lowfield MR-LINAC images of the prostate by Parker Anderson, Nesrin Dogan, John Chetley Ford, Kyle Padgett, Garrett Simpson, Radka Stoyanova, Matthew Charles Abramowitz, Alan Dal Pra, Rodrigo Delgadillo

“…The correlation between FX1 images and 3T diagnostic MR (dT2) images was also studied. …”
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Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes by Bo Hu, Ying Yu, Xin-Wen Yu, Min-Hua Ni, Yan-Yan Cui, Xin-Yu Cao, Ai-Li Yang, Yu-Xin Jin, Sheng-Ru Liang, Si-Ning Li, Pan Dai, Ke Wu, Lin-Feng Yan, Bin Gao, Guang-Bin Cui

“…To comprehensively explore the neural mechanisms underlying it, we aimed to explore the sequence that episodic memory-related behavioral and brain-imaging biomarkers appear abnormal in the progression of T2D. …”
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Live-cell imaging and analysis of 3D spheroids in hypoxia- and radiotherapy-related research by Claire Beckers, Lazaros Vasilikos, Lorena Moor, Martin Pruschy

“…We developed a straightforward workflow for the analysis of spheroids based on image processing using a novel custom-written script, and flow cytometry.…”
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Using Image-based AI for insect monitoring and conservation - InsectAI COST Action by Tom August, Mario Balzan, Paul Bodesheim, Gunnar Brehm, Lisette Cantú-Salazar, Sílvia Castro, Joseph Chipperfield, Guillaume Ghisbain, Alba Gomez-Segura, Jérémie Goulnik, Quentin Groom, Laurens Hogeweg, Chantal Huijbers, Andreas Kamilaris, Karolis Kazlauskis, Wouter Koch, Dimitri Korsch, João Loureiro, Youri Martin, Angeliki Martinou, Kent McFarland, Xavier Mestdagh, Denis Michez, Charlie Outhwaite, Luca Pegoraro, Nadja Pernat, Lars Pettersson, Pavel Pipek, Cristina Preda, David Rolnick, Tobias Roth, David Roy, Helen Roy, Veljo Runnel, Martina Sasic, Dmitry Schigel, Julie Sheard, Cecilie Svenningsen, Heliana Teixeira, Nicolas Titeux, Thomas Tscheulin, Elli Tzirkalli, Marijn van der Velde, Roel van Klink, Nicolas Vereecken, Sarah Vray, Toke Thomas Høye

“…These groups will address how image-based insect AI technologies can best address Societal Needs, support innovation in Image Collection hardware, create standardised approaches for Image Processing and develop novel Data Analysis and Integration methods for turning data into actionable insights.…”
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Transforming Alzheimer’s Disease Diagnosis: Implementing Vision Transformer (ViT) for MRI Images Classification by Dian Kurniasari, Muhammad Dwi Pratama, Akmal Junaidi, Ahmad Faisol

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Multitemporal analysis of the flow of sediments using MODIS MYD09 and MOD09 images by Iván Darío Carrillo Durán, Rubén Javier Medina Daza

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A Real-Time Semantic Segmentation Method of Sheep Carcass Images Based on ICNet by Shida Zhao, Guangzhao Hao, Yichi Zhang, Shucai Wang

“…Based on the ICNet, we propose a real-time semantic segmentation method for sheep carcass images. We first acquire images of the sheep carcass and use augmentation technology to expand the image data, after normalization, using LabelMe to annotate the image and build the sheep carcass image dataset. …”
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A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image Transmission by Mohamed El-Tarhuni, Mohamed Hassan, Akram Bin Sediq

“…We introduce an improved image transmission scheme over wireless channels with flat Rayleigh fading. …”
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Logistics Information Traceability Mechanism of Fresh E-Commerce Based on Image Recognition Technology by Xin Zhang, Pengfei Shao

“…Computer vision and digital image processing techniques are used for visual identification and tracking through different warehouses and delivery points. …”
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Deep imaging of LepR+ stromal cells in optically cleared murine bone hemisections by Yuehan Ni, Jiamiao Wu, Fengqi Liu, Yating Yi, Xiangjiao Meng, Xiang Gao, Luyi Xiao, Weiwei Zhou, Zexi Chen, Peng Chu, Dan Xing, Ye Yuan, Donghui Ding, Ge Shen, Min Yang, Ronjie Wu, Ling Wang, Luiza Martins Nascentes Melo, Sien Lin, Xiaoguang Cheng, Gang Li, Alpaslan Tasdogan, Jessalyn M. Ubellacker, Hu Zhao, Shentong Fang, Bo Shen

“…Abstract Tissue clearing combined with high-resolution confocal imaging is a cutting-edge approach for dissecting the three-dimensional (3D) architecture of tissues and deciphering cellular spatial interactions under physiological and pathological conditions. …”
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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

“…Furthermore, the functionality developed in this study can be extended to medical imaging and other applications involving high-precision remote-sensing images.…”
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Optimization of an Intelligent Sorting and Recycling System for Solid Waste Based on Image Recognition Technology by Haitao Chen

“…Using the detection system for construction solid waste recognition, the YOLO model can accurately detect the location, class, and confidential information of the target object in the image. Image recognition is a technique to recognize images by capturing real-life images through devices and performing feature extraction, and this technique has been widely used since its inception. …”
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Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval by Hong Huang, Risheng Deng

“…In order to improve the performance of tennis game technical analysis, based on machine learning algorithms, this paper combines image analysis to identify athletes’ movement characteristics and image feature recognition processing with image recognition technology, realizes real-time tracking of athletes’ dynamic characteristics, and records technical characteristics. …”
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