Comparative Studies of Descriptor-Based Image Matching Techniques for AAV Applications by Tomasz Pogorzelski, Teresa Zielinska

Get full text

Soybean Saponin Content Detection Based on Spectral and Image Information Combination by Hongmin Sun, Xifan Meng, Yingpeng Han, Xiao Li, Xiaoming Li, Yongguang Li

“…Finally, image information was combined into spectral data to improve model accuracy. …”
Get full text

CVT-HNet: a fusion model for recognizing perianal fistulizing Crohn’s disease based on CNN and ViT by Lanlan Li, Ziyue Wang, Chongyang Wang, Tao Chen, Ke Deng, Hong’an Wei, Dabiao Wang, Juan Li, Heng Zhang

“…External validation demonstrates that our model exhibits commendable transportability and generalizability. In visualization analysis, CVT-HNet exhibits a more concentrated focus on the region of interest in images of anal fistulas. …”
Get full text

The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review by Jingguo Qu, Xinyang Han, Man-Lik Chui, Yao Pu, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

“…The introduction of deep learning technologies offers new possibilities for improving the accuracy of lymph node image analysis. This study evaluates the application of deep learning in lymph node segmentation and discusses the methodologies of various deep learning architectures such as convolutional neural networks, encoder-decoder networks, and transformers in analyzing medical imaging data across different modalities. …”
Get full text

Overcoming photon and spatiotemporal sparsity in fluorescence lifetime imaging with SparseFLIM by Binglin Shen, Yuan Lu, Fangyin Guo, Fangrui Lin, Rui Hu, Feng Rao, Junle Qu, Liwei Liu

“…Quantitative analysis shows over tenfold photon enrichment, dramatically improving signal-to-noise ratio, lifetime accuracy, and correlation compared to the original sparse data. …”
Get full text

The Charm of the City in Musical Narration: The Construction of Chengdu's Local Image in Song by Peng Rong, Liu Chao

“…It determined the degree of association between feature words through high-frequency word statistics and socio-semantic network analysis and constructed the dimensions of local imagery through rooting theory. …”
Get full text

Two-dimensional spatial orientation relation recognition between image objects by Gong Peiyong, Zheng Kai, Jiang Yi, Zhao Huixuan, Huai Honghao, Guan Ruijie

“…Recent advances in computer vision have concentrated on comprehension of the semantic features of images, particularly the spatial relations between objects—a fundamental semantic feature of visual scene understanding. …”
Get full text

Brain Functional Connectome Gradients Analysis Study of Chronic Back Pain by YANG Junchao, YIN Xiaolong, HUANG Li, JIANG Feng, LI Zuanfang, LIANG Shengxiang

“…ObjectiveThe aim of this study was to investigate the relationship between changes in functional network hierarchy and pain in patients with chronic back pain (CBP) by analyzing the differences in functional network connectivity gradients between the CBP group and the healthy control group.MethodsData (including basic clinical information such as VAS scores, years of pain, and resting functional MRI images) from the patients with CBP and healthy controls (HC) were obtained from the OpenPain database. …”
Get full text

Convolutional neural network analysis of optical texture patterns in liquid-crystal skyrmions by J. Terroa, M. Tasinkevych, C. S. Dias

Get full text

Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges by Ashwini A. Salunkhe, R. Gobinath, S. Vinay, Leo Joseph

“…Civil engineering is the oldest discipline, and due to the never-ending demand of this domain, it is rapidly adapting to newer computer techniques like image processing, deep learning, big data analysis, neural networks, building information modeling (BIM), unmanned aerial vehicle (UAV) system, digital image correlation (DIC), and many more. …”
Get full text

Media Image of the Region and Features of its Formation (The Case of the Republic of Mordovia) by Ksenia V. Dementieva, Diana A. Bakeeva, Natalya M. Frolova

“…The article contains a content analysis of positive and negative markers of everyday life that influence the formation of the image of the region. …”
Get full text

DBDB: de-bimodal defocus blur in joint infrared-visible imaging by Zhe Cao, Lixin Xu, Jin Zhang, Biwen Yang, Kaizheng Chen, Ruiheng Zhang

“…Abstract Despite the recent accomplishments in joint infrared-visible imaging, the bimodal defocus blur (BDB) phenomenon received scant attention. …”
Get full text

Deepfake Image Forensics for Privacy Protection and Authenticity Using Deep Learning by Saud Sohail, Syed Muhammad Sajjad, Adeel Zafar, Zafar Iqbal, Zia Muhammad, Muhammad Kazim

“…This research focuses on the detection of deepfake images and videos for forensic analysis using deep learning techniques. …”
Get full text

Evaluation of Artificial Intelligence Effectiveness in Detection of Lumbosacral Spine Degenerative Diseases by N. В. Nudnov, A. V. Korobov, А. А. Skachkov, T. V. Kulneva, V. V. Sherstoboev, L. А. Titova, A. S. Rusakov, V. V. Tumko, R. S. Sarbaev, N. А. Uspenskaya, E. А. Andrienko, M. Е. Ivannikov

“…Objective: comparative evaluation of output data of a set of trained convolutional neural network (CNN) models and interpretation of pathological changes in lumbar spine by radiologists during magnetic resonance imaging.Material and methods. …”
Get full text

Artificial Intelligence in Dermatology: A Review of Methods, Clinical Applications, and Perspectives by Agnieszka M. Zbrzezny, Tomasz Krzywicki

“…The decision-making process in clinical dermatology is analysed, focusing on how AI is augmenting skin imaging techniques such as dermatoscopy and histology. …”
Get full text

Harmonizing network-based statistics across different atlases in brain connectome analysis by Qingyuan Liu, Yongbin Wei, Dongxu Liu, Ting Qi, Kun Zhao, Ya-Hong Zhang, Long-Biao Cui, Yong Liu, Martijn P. van den Heuvel

Get full text

MACHINE LEARNING TECHNIQUES FOR RETINOPATHY DETECTION IN DIABETIC PATIENTS by Ajay Kushwaha, Ahankari Sachin Suresh, Chennoju Phanindra, Anil Kumar Sahu, Devanand Bhonsle, Yamini Chouhan

Subjects: Get full text

AI-powered estimation of tree covered area and number of trees over the Mediterranean island of Cyprus by Anna Zenonos, Sizhuo Li, Martin Brandt, Jean Sciare, Philippe Ciais

Get full text

Mapeamento de áreas aluvionares no semiárido brasileiro por meio de dados colaterais e imagens orbitais Mapping alluvial areas in semi-arid region of Brazil through collateral data... by Helio L. Lopes, Jaime J. da S. P. Cabral, José C. de Araújo Filho, Suzana M. G. L. Montenegro

“…In this way, the aim of this study was to apply Landsat-Thematic Mapper images together with collateral data such as the drainage network, map of soil classes and elevation data to assist in the classification of alluvial terraces. …”
Get full text

Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy by Swarajya Madhuri Rayavarapu, Gottapu Sasibhushana Rao

“… Data generation strategies are essential for addressing the challenge of limited training data in deep learning-based medical image analysis, particularly for hypertrophic cardiomyopathy (HCM) using magnetic resonance imaging (MRI). …”
Get full text