An intelligent method for detection of small target fungal wheat spores based on an improved YOLOv5 with microscopic images by Zhizhou Ren, Kun Liang, Yingqi Zhang, Jinpeng Song, Xiaoxiao Wu, Chi Zhang, Xiuming Mei, Yi Zhang, Xin Liu

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Magnetic resonance imaging relevance in diagnosis and prognosis of early postoperative period following pancreatic cancer surgical treatment by E. N. Kolesnikov, D. Ya. Iozefi, O. I. Kit, A. Yu. Maksimov

“…Lactate and lipid complex were selected from a wide range of metabolites. …”
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Kernelized Type 2 Intuitionistic Fuzzy C Means: a robust approach for brain MRI image segmentation by Kanika Bhalla, Sonika Dahiya, Anjana Gosain

“…Abstract This paper addresses the challenge of accurately segmenting complex regions in medical images, where traditional clustering methods often struggle due to noise sensitivity and unclear boundaries. …”
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Morphological Evolution of Sn‐Metal‐Based Anodes for Lithium‐Ion Batteries Using Operando X‐Ray Imaging by Bouchra Bouabadi, André Hilger, Paul H. Kamm, Tillmann R. Neu, Nikolay Kardjilov, Michael Sintschuk, Henning Markötter, Thomas Schedel‐Niedrig, Daniel Abou‐Ras, Francisco García‐Moreno, Sebastian Risse

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Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review by Hafsa Laçi, Kozeta Sevrani, Sarfraz Iqbal

“…Abstract Medical images occupy the largest part of the existing medical information and dealing with them is challenging not only in terms of management but also in terms of interpretation and analysis. …”
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Research on Structural Mechanics Stress and Strain Prediction Models Combining Multi-Sensor Image Fusion and Deep Learning by Yifeng Shan, Mengzhe Zhen, Heinz D. Fill

“…This study falls within the thematic scope of multi-sensor imaging and fusion methods, emphasizing their crucial role in assessing material behavior under complex conditions. …”
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Classifying breast cancer and fibroadenoma tissue biopsies from paraffined stain-free slides by fractal biomarkers in Fourier Ptychographic Microscopy by Vittorio Bianco, Marika Valentino, Daniele Pirone, Lisa Miccio, Pasquale Memmolo, Valentina Brancato, Luigi Coppola, Giovanni Smaldone, Massimiliano D’Aiuto, Gennaro Mossetti, Marco Salvatore, Pietro Ferraro

“…To handle this informative image content, we introduce elements of fractal geometry as multi-scale analysis method. …”
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Metaphorical model «Life – Way» in the aspect of variation by K. P. Barakat

“…The results of the study showed that the metaphor of Way in the Russian language represents a universal and flexible conceptual model, providing a multifaceted understanding of the complex and highly abstract phenomenon of life. The universal nature of this metaphorical model is ensured by the mechanism of variation inherent in the image of movement through space. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…In addition, the OCDWO-DLCLC technique uses NASNet Mobile model for learning complex feature patterns. Also, the hybrid of convolutional bidirectional gated recurrent unit (CNN‐BiGRU) model was applied for classifying the existence of colon and lung cancer in the biomedical images. …”
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Innovative Progress of LSPR‐Based Dark‐Field Scattering Spectral Imaging in the Biomedical Assay at the Single‐Particle Level by Yang Shi, Lixiang Wang, Lingling Li, Chen Feng, Yue Cao

“…In clinical testing, it is expected to be able to realize both rapid large‐field imaging and analysis of single particles (or single molecules or single cells), and it is expected to be able to grasp both the unique individuality of single particles in time and space during the complex reaction process, as well as the regular correlation between single particles in the same population distribution. …”
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Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction by Jiaxing Yang, Yong Wang

“…First, with the stretch processing generated extra complex phase terms incorporated into the analysis, a modified parametric translational motion compensation algorithm is proposed to achieve the translational motion compensation. …”
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images by M. Pradeepa, B. Sharmila, M. Nirmala

“…Abstract Breast cancer remains a significant global health challenge among women, with histopathological image analysis playing a critical role in early detection. …”
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Distinguishing Rock Fracture and Pore's T2 Signals From NMR Experiments With Assisted X‐Ray CT Imaging by Ying Yang, Limin Li, Tingjun Wen, Luyi W. Shen, Elton J. Chen, Xu Dong, Jiangen Xu

“…ABSTRACT Nuclear magnetic resonance (NMR) is widely used to characterize fluids in rock pore spaces, but traditional methods have difficulty distinguishing fractures from matrix pores in complex carbonate formations. To address this, we developed a calibration method that integrates X‐ray computed tomography (CT) imaging with NMR to identify fracture‐related T2 signals. …”
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Diagnosis of Sarcopenia Using Convolutional Neural Network Models Based on Muscle Ultrasound Images: Prospective Multicenter Study by Zi-Tong Chen, Xiao-Long Li, Feng-Shan Jin, Yi-Lei Shi, Lei Zhang, Hao-Hao Yin, Yu-Li Zhu, Xin-Yi Tang, Xi-Yuan Lin, Bei-Lei Lu, Qun Wang, Li-Ping Sun, Xiao-Xiang Zhu, Li Qiu, Hui-Xiong Xu, Le-Hang Guo

“…After comprehensive clinical analysis, the monomodal model based on ultrasound images was identified as the SARCO model. …”
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Computed tomography-derived quantitative imaging biomarkers enable the prediction of disease manifestations and survival in patients with systemic sclerosis by Gabriela Riemekasten, Felix Nensa, Hanna Grasshoff, René Hosch, Malte Maria Sieren, Lennart Berkel, Jörg Barkhausen, Roman Kloeckner, Franz Wegner

“…Introduction Systemic sclerosis (SSc) is a complex inflammatory vasculopathy with diverse symptoms and variable disease progression. …”
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Long-term tracking of neural and oligodendroglial development in large-scale human cerebral organoids by noninvasive volumetric imaging by Sangjun Park, Cheol Hong Min, Eunjin Choi, Jeong-Sun Choi, Kyungjin Park, Seokyoung Han, Wonjun Choi, Hyun-Jong Jang, Kyung-Ok Cho, Moonseok Kim

“…Abstract Human cerebral organoids serve as a quintessential model for deciphering the complexities of brain development in a three-dimensional milieu. …”
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Study on Mesoscopic Damage Evolution Characteristics of Single Joint Sandstone Based on Micro-CT Image and Fractal Theory by Hao Liu, Lulin Zheng, Yujun Zuo, Zhonghu Wu, Wenjibin Sun, Lujing Zheng, Chao Pan, Jianyun Lin, Zehua Zhu, Zhibin Hao

“…The mesoscale fracture mechanics behavior of 7 groups of jointed sandstones with various dip angles was numerically studied, and its reliability was verified through theoretical analysis. According to digital image storage principle and box dimension theory, the box dimension algorithm of rock mesoscale fracture is written in MATLAB, the calculation method of fractal dimension of mesoscale fracture was proposed, and the corresponding relationship between mesoscale fractal dimension and fracture damage degree was established. …”
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DVF-NET: Bi-Temporal Remote Sensing Image Registration Network Based on Displacement Vector Field Fusion by Mingliang Xue, Yiming Zhang, Shucai Jia, Chong Cao, Lin Feng, Wanquan Liu

“…Accurate image registration is essential for various remote sensing applications, particularly in multi-temporal image analysis. …”
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An Image-Based Intelligent System for Addressing Risk in Construction Site Safety Monitoring Within Civil Engineering Projects by Hijratullah Sharifzada, You Wang, Said Ikram Sadat, Hamza Javed, Khalid Akhunzada, Sidra Javed, Sadiq Khan

“…This study presents an intelligent monitoring and analysis system for construction site safety based on an image dataset. …”
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AERU-Net: Adaptive Edge Recovery and Attention U-Shaped Network for Remote Sensing Image Super-Resolution by Amir Hajian, Supavadee Aramvith

“…Remote sensing image super-resolution (RSISR) has recently garnered significant attention, with major advances achieved through deep learning neural networks. …”
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