SED-YOLO based multi-scale attention for small object detection in remote sensing by Xiaotan Wei, Zhensong Li, Yutong Wang

“…Abstract Object detection is crucial for remote sensing image processing, yet the detection of small objects remains highly challenging due to factors such as image noise and cluttered backgrounds. …”
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Early Detection of Pancreatic Cancer: Opportunities Provided by Cancer-induced Paraneoplastic Phenomena and Artificial Intelligence by Wei-Chih Liao

“…Results: Surveillance for high-risk individuals with imaging-based tools (endoscopic ultrasound and magnetic resonance image) is now advocated, whereas screening for asymptomatic general populations is not warranted at present. …”
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Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection by Sajad Einy, Hasan Saygin, Hemrah Hivehch, Yahya Dorostkar Navaei

“…The main advantage of this approach is that it is robust and shows stable results regardless to size of image database and to solve overfitting problems. …”
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Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion by Yongjun Qi, Hailin Tang, Altangerel Khuder

“…When this part is added, the detection accuracy will increase by about 3% to 7%. The image position can be accurately captured and the recognition rate is greatly improved through the optimized convolutional neural network, which can provide a reference for future research in other fields.…”
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A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things by Manal Alsabhan, Adel Soudani, Manan Almusallam

“…Mainly, image sensing and transmission in Internet of Multimedia Things severely deplete the sensor energy and overflow the network bandwidth with redundant data. …”
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Improving Robustness of Biometric Identity Determination with Digital Watermarking by Juha Partala, Angelos Fylakis, Anu Pramila, Anja Keskinarkaus, Tapio Seppänen

“…The determination of identities with such precision from face images taken under a wide range of natural situations is still an unsolved problem. …”
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YOLOSeg with applications to wafer die particle defect segmentation by Yen-Ting Li, Yu-Cheng Chan, Chen-Che Huang, Yu-Chang Hsu, Ssu-Han Chen

“…Furthermore, YOLOSeg also attempts to obtain a set of better weights by combining with several training tricks such as freezing layers, switching mask loss, using auto-anchor and introducing denoising diffusion probabilistic models (DDPM) image augmentation. The experiment results on the testing image set show that YOLOSeg’s average precision (AP) and intersection over union (IoU) are as high as 0.821 and 0.732 respectively. …”
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Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In Vitro by Jacqueline Palmari, Bruno Lafon, Pierre Marie Martin, Christophe Dussert

“…It is used to simulate the proliferation of the human breast cancer cell line MCF‐7 and the results of the simulation are compared with experimental data obtained from a light microscopic image analysis of the proliferation process. The initial configuration of the cellular automaton is obtained from the discretization of the results of the initial stage of the image processing. …”
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Transformations of the American hero in the US media discourse by Svitlana Lyubymova

“…Formed in the process of evaluative categorization, sociocultural stereotypes represent simplified and conventional images of individuals and groups in media discourse. …”
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Feature Extraction of Broken Glass Cracks in Road Traffic Accident Site Based on Deep Learning by Shuai Liang

“…This paper studies the feature extraction and middle-level expression of Convolutional Neural Network (CNN) convolutional layer glass broken and cracked at the scene of road traffic accident. The image pyramid is constructed and used as the input of the CNN model, and the convolutional layer road traffic accident scene glass breakage and crack characteristics at each scale in the pyramid are extracted separately, and then the depth descriptors at different image scales are extracted. …”
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A Computer Vision-Based Framework for Snow Removal Operation Routing by Mohamed Karaa, Hakim Ghazzai, Yehia Massoud, Lokman Sboui

“…We offer an artificial intelligence-based image-based approach for estimating snow depth and traffic volume on roads. …”
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Multifeature Fusion Detection Method for Fake Face Attack in Identity Authentication by Haiqing Liu, Shiqiang Zheng, Shuhua Hao, Yuancheng Li

“…Basic LBP methods are also modified by considering the nearest neighbour binary computing method instead of the fixed centre pixel method; the traditional optical flow algorithm is also modified by applying the multifusion feature superposition method, which reduces the noise of the image. In the pyramid model, image processing is performed in each layer by using block calculations that form multiple block images. …”
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Intelligent Transport Surveillance Memory Enhanced Method for Detection of Abnormal Behavior in Video by Deng-Hui Zhang

“…Then, a memory module is proposed to enhance the automatic encoder to reduce the reconstruction error of normal samples and increase the reconstruction error of abnormal samples. The effect image is obtained by Laplace transform and convolution for the image with low definition, and the image with noise is processed by guided filtering. …”
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The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: A systematic scoping review. by Eloise S Ockenden, Sandrena Ruth Frischer, Huike Cheng, J Alison Noble, Goylette F Chami

“…<h4>Background</h4>Abdominal ultrasound imaging is an important method for hepatic schistosomiasis diagnosis and staging. …”
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Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery by Alain Garcia Vazquez, MD, Juan Verde, MD, Ariosto Hernandez Lara, MD, Didier Mutter, MD, Lee Swanstrom, MD, 5G-OR Research Committee, 5G-OR Consensus Panel, Ariosto Hernandez Lara, Barbara Seeliger, Daniel Hashimoto, Deepak Alapatt, Joel Lavanchy, Juan Verde, Lise Lecointre, Pietro Mascagni, Pr.Danail Stoyanov, Didier Mutter, MD, Dirk Willhelm, MD, Pr.Gerald Fried, MD, Gretchen Jackson, MD, PhD, Jean-Paul Mazellier, PhD, Lee Swanstrom, MD, Pr.Lena Maier-Hein, Pr.Nicolas Padoy, PhD, Pr.Sascha Treskatsch, MD, Pr.Silvana Perretta, MD, PhD, Pr.Stefanie Speidel, Pr.Teodor Grantcharov, Annika Mareike Engel, BSc, MEng, Axel Boese, DrIng, Carla M. Pugh, MD, PhD, Cesare Hassan, Fabian Dietrich, PhD, Felix Nickel, MD, MME, Franziska Jurosch, MSc, Guido Beldi, MD, Henriette Hegermann, Dr, Johannes Horsch, Dipl-Ing, Julian Rosenkranz, Ing, MSc, Keno Sponheuer, DrMed, Luca Milone, MD, PhD, FACS, Nariaki Okamoto, MD, PhD, Patrick Seeling, PhD, Pedro Filipe Pereira Gouveia, MD, PhD, Roland Croner, Prof.Dr, Sandra Keller, PhD, Sharona B Ross, Taiga Wakabayashi, MD, Ph.D, Takeaki Ishizawa, MD, PhD, Takeshi Urade, MD, PhD, Thomas Schnelldorfer, MD, PhD, Thorge Lackner, MSc, and MEng

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Implementation of Steiner Point of Fuzzy Set by Jiuzhen Liang, Dejiang Wang

“…Stability analysis of Steiner point of fuzzy set is also studied. Some experiments on image processing are given, in which the two methods are applied for implementing Steiner point of fuzzy image, and both strategies show their own advantages in computing Steiner point of fuzzy set.…”
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A reading event The Pictorial Third by Liliane Louvel

“…The word/image relationship, now often thought of as an intermedial feature, is a paradoxical plastic object. …”
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The Structure of Space and Problems of Our Time by Светлана Головня, Константин Лидин

“… Since antiquity the image of space as emptiness has been opposed to the image of material space filled with some essence. …”
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« Dis-moi quel est ton paysage préféré » : exemple du Parc naturel régional de la Brenne by Claire Blouin-Gourbilière

“…The landscape image symbolises the identity of a place. A large number of territories are perceived, more or less consciously, through emblematic and iconographic representations, associating one or several landscape elements of a geographic region. …”
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Newton Method to Recover the Phase Accumulated during MRI Data Acquisition by Oh-In Kwon, Chunjae Park

“…For an internal conductivity image, magnetic resonance electrical impedance tomography (MREIT) injects an electric current into an object and measures the induced magnetic flux density, which appears in the phase part of the acquired MR image data. …”
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