Diagnosis of pneumonia from chest X-ray images using YOLO deep learning by Yanchun Xie, Binbin Zhu, Yang Jiang, Bin Zhao, Hailong Yu

“…Next, the YOLOv11 network structure was redesigned to accommodate the complex features of pneumonia X-ray images. By integrating the C3k2 module, DCNv2, and DynamicConv, the Fast-YOLO network effectively enhanced feature representation and reduced computational complexity (FPS increased from 53 to 120). …”
Get full text

CONCEPTION OF THE ETHNOTRAUMA MYTHOLOGY AS A MEANS OF CONSTRUCTION OF THE ENEMY IMAGE IN THE PROPAGANDA OF THE THIRD REICH by N. Pogrebnaya, A. Anikeev

“…Various means of the mass propaganda translation are taken for analysis in order to compare methods used to construct the enemy image, to provide insight into language tendencies and the formation of ideologemes and to prove that agitation and propaganda of Nazis was complex. …”
Get full text

Pancreatic cancer detection through semantic segmentation of CT images: a short review by Chiranjeevi Karri, João Santinha, Nikolaos Papanikolaou, Santosh Kumar Gottapu, Manohar Vuppula, P. M. K. Prasad

“…Abstract Detection of cancer in human organs at an early stage is a crucial task and is important for the survival of the patients, especially in terms of complex structure, dynamic size, and dynamic length in organs like the pancreas. …”
Get full text

Let’s Practice Better... on Cats: Description and Visualisation of Artistic Images in Generative AI Models by Ruslan Khandogin, Nina S. Proner

“…The article emphasises that the literary text is at the top of the hierarchy of cultural texts; it is characterised by intentionality and coherence and represents a complex semantic field where key words and images interact with the explicit and implicit contexts. …”
Get full text

A Novel Entropy-Based Approach for Thermal Image Segmentation Using Multilevel Thresholding by Thaweesak Trongtirakul, Karen Panetta, Artyom M. Grigoryan, Sos S. Agaian

“…Image segmentation is a fundamental challenge in computer vision, transforming complex image representations into meaningful, analyzable components. …”
Get full text

MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

“…However, challenges persist due to the limitations of underwater robots equipped with basic cameras, which struggle to handle complex underwater environments. This leads to blurry images, severely hindering the performance of automated systems.MethodsWe propose MUFFNet, an underwater image enhancement network leveraging multi-scale frequency analysis to address the challenge. …”
Get full text

The Evaluation of LSB Steganography on Image File Using 3DES and MD5 Key by Ilham Firman Ashari, Eko Dwi Nugroho, Dodi Devrian Andrianto, M. Asyroful Nur Maulana Yusuf, Makruf Alkarkhi

“…Based on the results of program analysis and testing, it can be concluded that the more messages that are inserted in the image, the more pixel differences there are in the stego image. …”
Get full text

Advancing Urban Development: Applications of Hyperspectral Imaging in Smart City Innovations and Sustainable Solutions by Arvind Mukundan, Riya Karmakar, Jumana Jouhar, Muhamed Adil Edavana Valappil, Hsiang-Chen Wang

“…Smart cities are urban areas that use advanced technologies to make urban living better through efficient resource management, sustainable development, and improved quality of life. Hyperspectral imaging (HSI) is a noninvasive and nondestructive imaging technique that is revolutionizing smart cities by offering improved real-time monitoring and analysis capabilities across multiple urban sectors. …”
Get full text

The accuracy of determining the coordinates of an unmanned aerial vehicle with a navigation complex integrating an electro-optical positioning system by A. A. Sheinikov, А. М. Kovalenko, А. А. Sanko

“…The developed mathematical model of errors for the UAV inertial optical navigation complex (IONC) is presented. The analysis of the impact of airborne altimeter inaccuracies, earth’s surface features and the shift of the onboard digital camera optical axis, caused by random evolutions of the carrier body in turbulent atmosphere on the positioning accuracy, was conducted. …”
Get full text

The accuracy of image-based individual tree crown detection and delineation across vegetation types by N. Pucino, T. McVicar, S. Levick, A. van Dijk

Get full text

FPGA-based point processing for denoising of the show-through effect in scanned document images by Habibunnisha Nazeer, Nedumaran Damodaran

“…Document Image Binarization is one of the image enhancement techniques and has potential applications in the field of Document Image Analysis and Recognition (DIAR). …”
Get full text

UNestFormer: Enhancing Decoders and Skip Connections With Nested Transformers for Medical Image Segmentation by Adnan Md Tayeb, Tae-Hyong Kim

“…Precise identification of organs and lesions in medical images is essential for accurate disease diagnosis and analysis of organ structures. …”
Get full text

Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

“…A set of Ascan radar waveforms captured at a certain number of different consecutive positions along a particular direction will form a 2D image called B-scan. They show response shapes of hyperbolic type and their analysis give many characteristics. …”
Get full text

Brain magnetic resonance imaging of patients with spinal muscular atrophy type 2 and 3 by Marloes Stam, Harold H.G. Tan, Ruben Schmidt, Martijn P. van den Heuvel, Leonard H. van den Berg, Renske I. Wadman, W. Ludo van der Pol

Get full text

OcularAge: A Comparative Study of Iris and Periocular Images for Pediatric Age Estimation by Naveenkumar G. Venkataswamy, Poorna Ravi, Stephanie Schuckers, Masudul H. Imtiaz

“…A multi-task deep learning framework was employed to jointly perform age prediction and age-group classification, enabling a systematic exploration of how different convolutional neural network (CNN) architectures, particularly those adapted for non-square ocular inputs, capture the complex variability inherent in pediatric eye images. …”
Get full text

Evaluation of Support Types of Volcanic Clastic Sand and Gravels Based on Electrical Imaging Logging by ZHAO Xiaoqing, WANG Xiangyu, ZHANG Zhiguo, ZHANG Weifeng, CHEN Haifeng

“…The combined effect of river transport and volcanic action during the deposition of volcanic clastic sand conglomerate causes large variations in rock grain size and complex pore structure of different grain size combinations, which affects the reservoir quality. …”
Get full text

Obstacle avoidance algorithm based on sub-image segmentation and mapping point cloud space by Liya ZHANG, Chenxin LI, Bin LIU, Zhifang YANG

“…Finally, the simplification effect of the algorithm on the total amount of point clouds is verified through simulation analysis, the inversion accuracy of the maximum outer diameter of obstacles under different sub-image scales is simulated, and the real-time obstacle avoidance ability effect of the system applying this algorithm is verified. …”
Get full text

Imaging Bone–Cartilage Interactions in Osteoarthritis Using [F]-NaF PET-MRI by Dragana Savic MSc, Valentina Pedoia PhD, Youngho Seo PhD, Jaewon Yang PhD, Matt Bucknor MD, Benjamin L. Franc MD, Sharmila Majumdar PhD

“…Sixteen participants with early signs of OA of the knee received intravenous injections of [ 18 F]-NaF at the onset of PET-MR image acquisition. Regions of interest were identified, and kinetic analysis of dynamic PET data provided the rate of uptake ( K i ) and the normalized uptake (standardized uptake value) of [ 18 F]-NaF in the bone. …”
Get full text

DAU-YOLO: A Lightweight and Effective Method for Small Object Detection in UAV Images by Zeyu Wan, Yizhou Lan, Zhuodong Xu, Ke Shang, Feizhou Zhang

“…Drone object detection serves as a fundamental task for more advanced applications. However, drone images typically exhibit challenges such as small object sizes, dense distributions, and high levels of overlap. …”
Get full text

Needle tracking and segmentation in breast ultrasound imaging based on spatio-temporal memory network by Qiyun Zhang, Jiawei Chen, Jinhong Wang, Haolin Wang, Yi He, Yi He, Bin Li, Zhemin Zhuang, Huancheng Zeng

“…IntroductionUltrasound-guided needle biopsy is a commonly employed technique in modern medicine for obtaining tissue samples, such as those from breast tumors, for pathological analysis. However, it is limited by the low signal-to-noise ratio and the complex background of breast ultrasound imaging. …”
Get full text