Detecting Alzheimer's Based on MRI Medical Images by Using External Attention Transformer by Farrel Ardannur Deswanto, Isman Kurniawan

“…Therefore, an alternative for detecting Alzheimer’s disease is to use deep learning-based MRI image analysis. One promising approach is to implement the External Attention Transformer (EAT) model. …”
Get full text

Ultrasensitive Detection of Biomarkers Based on Anisotropic Gold Nanorods and Dark-Field Imaging by Chaoshan Zhao, Shunbo Li

“…The results show that the method based on the combination of a microfluidic chip and dark-field microscopic image has excellent sensitivity and has significant potential in an early cancer diagnosis and prognosis analysis.…”
Get full text

Image target importance recognition method based on visual model and correlation algorithm by Z. Ren, L. Huo, T. Shen, F. Kong

“…This paper proposes a vision model-based approach for image object relevance analysis, aiming to evaluate inter-object correlations in images by integrating scene knowledge graphs with target relevance analysis.First, we systematically conduct ontological modeling of urban scenes to construct a cityscape knowledge graph. …”
Get full text

Papillary thyroid carcinoma whole-slide images as a basis for deep learning by M. V. Fridman, A. A. Kosareva, E. V. Snezhko, P. V. Kamlach, V. A. Kovalev

“…The best result of the accuracy of determining the class of test sample showed the size of a representative fragment as 394.32×394.32 microns.Conclusion. The analysis of the influence of the representative sizes of fragments of histopathological images showed the problems in solving the classification tasks because of cutting and staining images specifics, morphological complex and textured differences in the images of the same class. …”
Get full text

Research on Buckwheat Weed Recognition in Multispectral UAV Images Based on MSU-Net by Jinlong Wu, Xin Wu, Ronghui Miao

“…It can also provide reference for multispectral data analysis and semantic segmentation in the field of minor grain crops.…”
Get full text

Application of Simulation Methods and Image Processing Techniques in Rock Blasting and Fragmentation Optimization by Qing Yang, Qidong Gao, Yongsheng Jia, Haixiao Zhou, Xin Gao, Wei Jiang, Xiaobo Ma

“…In this study, a simulation and analysis method for rock blasting fragmentation effects was developed by integrating the finite element method with image processing technology. …”
Get full text

National identity as a communication framework in advertising: Sounds, images and tastes of the past by Ocokoljić Marija

“…The primary questions addressed in the research conducted as a qualitative content analysis were the communication framing of national identity in advertising in the Republic of Serbia. …”
Get full text

Dual-Scale Complementary Spatial-Spectral Joint Model for Hyperspectral Image Classification by Huayue Chen, Yue Sun, Xiang Li, Bochuan Zheng, Tao Chen

“…In the field of hyperspectral image classification, using spatial information as a supplement to spectral information has been widely applied. …”
Get full text

A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

Get full text

Functioning of Conceptual Metaphor in Shaping Image of Iraq in Regional and Federal Media in Germany by L. N. Rebrina, L. H. M. A. Al-Khafaji

“…The analysis focuses on the frequency of metaphors, the magnitude and dominant features of the nominative field of metaphors, semantic and part-of-speech properties of metaphor representatives, and the salient characteristics of the country as components of its image, along with paradigmatic and syntagmatic relationships. …”
Get full text

A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

“…To address this issue, we propose a novel pedestrian detection algorithm with multisource face images, which involves a face recognition algorithm based on the conjugate orthonormalized partial least-squares regression analysis under a complex lighting environment. …”
Get full text

From Image to Sequence: Exploring Vision Transformers for Optical Coherence Tomography Classification by Amirali Arbab, Aref Habibi, Hossein Rabbani, Mahnoosh Tajmirriahi

“…The synergy between CNNs, which excel at extracting detailed localized features, and ViT, adept at recognizing long-range patterns, enables a more effective and comprehensive analysis of OCT images. Results: While our model achieves an accuracy of 99.80% on the OCT2017 dataset, its standout feature is its parameter efficiency–requiring only 6.9 million parameters, significantly fewer than larger, more complex models such as Xception and OpticNet-71. …”
Get full text

Three-dimensional graph reconstruction of filamentous structures from z-stack images by Oscar Sten, Emanuela Del Dottore, Marilena Ronzan, Nicola Pugno, Barbara Mazzolai

“…Automated analysis of images containing complex filament network structures has several interesting applications in both two-dimensional (2D) and three-dimensional (3D) environments, including the analysis of filamentous fungi. …”
Get full text

Semantics of Home / House Image in A.J. Cronin’s Novel “Three Loves” by Anna A. Novikova

“…The linguistic mechanisms which create the semantics of linguistic images and the typology of linguistic, textual and cultural images are studied by the methods of semantic analysis, cognitive linguistics (frame semantics, mental space), psychology (apperception and comparison of objects as a prerequisite for metaphorization). …”
Get full text

Advanced hybrid deep learning model for enhanced evaluation of osteosarcoma histopathology images by Arezoo Borji, Arezoo Borji, Arezoo Borji, Gernot Kronreif, Bernhard Angermayr, Bernhard Angermayr, Sepideh Hatamikia, Sepideh Hatamikia

“…Techniques such as deep learning, especially convolutional neural networks (CNNs) and vision transformers (ViTs), are now enabling the precise analysis of complex histopathological images, automating detection, and enhancing classification accuracy across various cancer types. …”
Get full text

From surfing to diving into the tumor microenvironment through multiparametric imaging mass cytometry by Marco Erreni, Marco Erreni, Maria Rita Fumagalli, Matteo Marozzi, Roberto Leone, Raffaella Parente, Raffaella D’Anna, Andrea Doni

“…Therefore, increasing our knowledge of the spatiotemporal changes in the tumor ecosystem architecture is of importance to better understand the etiologic development of the neoplastic diseases. Imaging Mass Cytometry (IMC) represents the elective multiplexed imaging technology enabling the in-situ analysis of up to 43 different protein markers for in-depth phenotypic and spatial investigation of cells in their preserved microenvironment. …”
Get full text

Imaging in Cloacal Malformations: A Comprehensive Update with Insights into Management and Surgical Considerations by Abhinav C. Bhagat, Radha Sarawagi, Sneha Periyasamy, Pramod K. Sharma, Rajesh Malik, Aman Kumar, Jitendra Sharma, Ankur Patel

“…This article aims to provide a comprehensive analysis of cloacal malformations with review of current literature and discussion of relevant embryology, highlighting various classification systems and describing the role of imaging in diagnosis and preoperative planning, along with insights into management and surgical options.…”
Get full text

The First Moon Bistatic SAR Imaging Experiment Based on FAST Radio Telescope by Yan Yin, Jinghai Sun, Jitong Duan, Xiaochen Wang, Mingyuan Li, Xinan Yue, Lijia Huang, Peng Jiang, Chibiao Ding

“…The core of this analysis method lies in combining error analysis and compensation with the imaging process, using the imaging results and the changes in echoes to calibrate the errors. …”
Get full text

VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

“…By efficiently encoding nonlinear relationships among features, KAN demonstrates potential in multilayered data analysis tasks such as multi and hyper-spectral remotely sensed image classification. …”
Get full text

Deciphering cell to cell spatial relationship for pathology images using SpatialQPFs by Xiao Li

“…Furthermore, these methods are typically limited to field of view analysis, which restricts their capacity to capture spatial patterns across whole-slide images, thereby limiting their ability to fully address the complexities of tissue architecture. …”
Get full text