Automatic Diagnosis of Traumatic Brain Injury Using Deep Learning with CT scan Images by Behrang Rezvani Kakhki, Hossein Zakeri, Sayyed Majid Sadrzadeh, Seyed Mohammad Mousavi, elnaz vafadar moradi, golnoush shahraki

“…The dataset was divided into two classes: pathological and non-pathological. Images were resized to 128 × 128 pixels to reduce computational complexity and split into training (90%) and validation (10%) sets. …”
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The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch by Meyer Z. Pesenson, Isaac Z. Pesenson, Bruce McCollum

“…Here we offer brief overviews of a number of concepts, techniques and developments that are vital to the analysis and visualization of complex datasets and images. …”
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UnetTransCNN: integrating transformers with convolutional neural networks for enhanced medical image segmentation by Yi-Hang Xie, Bo-Song Huang, Fan Li, Fan Li

“…Its parallel design and frequency-aware encoding contribute to enhanced generalizability, making it a promising tool for high-precision medical image analysis.…”
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Effective Identification of Variety and Origin of Chenpi Using Hyperspectral Imaging Assisted with Chemometric Models by Hangxiu Liu, Youyou Wang, Yiheng Wang, Jingyi Wang, Hanqing Hu, Xinyi Zhong, Qingjun Yuan, Jian Yang

“…Feature wavelength selection strategies, such as CARS, simplified the model complexity while maintaining a classification performance comparable to that of the full-spectrum models. …”
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Explainable graph neural network based on metabolic brain imaging for differential diagnosis of parkinsonism by Ronghua Ling, Ronghua Ling, Xingxing Cen, Shaoyou Wu, Min Wang, Ying Zhang, Juanjuan Jiang, Jiaying Lu, Yingqian Liu, Chuantao Zuo, Jiehui Jiang, Yinghui Yang, Zhuangzhi Yan, Zhuangzhi Yan

“…Multiscale interpretability analysis revealed: (1) Regional hypometabolism in pathognomonic nodes (putamen in IPD, midbrain tegmentum in PSP); (2) Disease-specific connectivity disruptions (midbrain-prefrontal disconnection in PSP, cerebellar-pontine decoupling in MSA). …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…However, compared with common color images, objects in remote sensing images exhibit minimal interclass variation and significant intraclass variation in the spectral dimension, with obvious scale inconsistency in the spatial dimension. …”
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In Vivo Assessment of Deep Vascular Patterns in Murine Colitis Using Optoacoustic Mesoscopic Imaging by Adrian Buehler, Emma L. Brown, Emmanuel Nedoschill, Markus Eckstein, Petra Ludwig, Felix Wachter, Henriette Mandelbaum, Roman Raming, Mariam‐Eleni Oraiopoulou, Lars‐Philip Paulus, Ulrich Rother, Oliver Friedrich, Markus F. Neurath, Joachim Woelfle, Maximilian J. Waldner, Ferdinand Knieling, Sarah E. Bohndiek, Adrian P. Regensburger

“…Using optoacoustic data from a murine model of chemically‐induced colitis, different image segmentation methods are compared for visualization and quantification of deep vascular patterns in terms of vascular network length and complexity, blood volume, and vessel diameter. …”
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Evaluation of the In Vitro Activity of Bedaquiline, Delamanid, and Clofazimine Against <i>Mycobacterium abscessus</i> Complex and Their Antibiofilm Potential by Katarzyna Kania, Katarzyna Wójcik, Alicja Skórkowska, Karolina Klesiewicz

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A dissection and angiographic study of morphological variations in the anterior communicating artery complex in a South African sample by Mbalentle Madolo, Geney Gunston, Stuart More, Kentse Mpolokeng

“…Background: The anterior communicating artery complex (ACAC), which includes the A1 and A2 segments of the anterior cerebral artery (ACA) and the anterior communicating artery (ACoA), is a common site for anatomical variation and aneurysm formation. …”
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Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis by Omneya Attallah

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Research and development of general technical specifications for video surveillance systems in the coal mining industry by CHANG Lin, LI Zongwei

“…To enhance the environmental adaptability and reliability of intelligent analysis of video surveillance systems in the coal mining industry under complex modern mine scenarios, in addition to image monitoring functions, the system should include: ① a video image quality self-diagnosis mechanism that automatically detects and diagnoses the quality of video images and the effectiveness of remote control of the PTZ lens. ② a multi-level Intelligent Video Analysis (IVA) system, including target detection, target recognition, behavior recognition, and event detection. ③ a configurable IVA framework that supports selecting and configuring IVA functions according to needs. ④ structured video description and indexing, supporting automatic description of IVA results and the establishment of indexes based on IVA results and related information. ⑤ cross-system alarm linkage, equipped with data interaction interfaces for alarm linkage, sending IVA results and other information to other devices or systems. …”
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Ultrafast complex-valued 4D fMRI reveals sleep-induced brain respiratory pulsation changes in both magnitude and phase signals by Saara Sofia Syväoja, Lauri Raitamaa, Heta Helakari, Jussi Kantola, Matti Järvelä, Janne Kananen, Ville Isokoski, Vesa Korhonen, Tommi Väyrynen, Timo Tuovinen, Jürgen Hennig, Vesa Kiviniemi

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Deep-EFNet: An Optimized EfficientNetB0 Architecture With Dual Regularization for Scalable Multi-Class Brain Tumor Classification in MRI by Hussein Alshaari, Saeed Alqahtani

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Complex Immune Contextures Characterise Malignant Peritoneal Mesothelioma: Loss of Adaptive Immunological Signature in the More Aggressive Histological Types by Marcella Tazzari, Silvia Brich, Alessandra Tuccitto, Fabio Bozzi, Valeria Beretta, Rosalin D. Spagnuolo, Tiziana Negri, Silvia Stacchiotti, Marcello Deraco, Dario Baratti, Chiara Camisaschi, Antonello Villa, Barbara Vergani, Licia Rivoltini, Silvana Pilotti, Chiara Castelli

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Improving Disparity Consistency With Self-Refined Cost Volumes for Deep Learning-Based Satellite Stereo Matching by Jiyong Kim, Seoyeon Cho, Minkyung Chung, Yongil Kim

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A social image of modern student youth: value aspects (by the materials of sociological research results) by N.V. Rozenberg, Yu.L. Afanasyeva, I.A. Rudakova

Topological signatures of brain dynamics: persistent homology reveals individuality and brain–behavior links by Yue Wang, Yue Wang, Junxing Xian, Yuanyuan Chen, Yuanyuan Chen, Yan Yan, Yan Yan

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CLM-UNet: A Remote Sensing Image Semantic Segmentation Method Incorporating Attention Mechanism by Panpan Zhang, Xin Teng, Yong Qin, Qiwei Zhao, Yu Gao, Wanchao Kang, Junfu Fan

“…This study proposes an enhanced U-Net model incorporating a CLM attention module, designed to improve semantic segmentation performance in remote sensing images of the Circum-Tarim region. Traditional U-Net structures face challenges in balancing the extraction of global and local features, especially in complex, multi-scale remote sensing data. …”
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Super-Resolution Reconstruction of Motor Long-Wave Infrared Images Based on Improved USR-Net by Darong Zhu, Ziyan Sun, Fangbin Wang

“…Temperature analysis of long-wave infrared images serves as an effective approach for motor fault detection. …”
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Correlation of Utrophin Levels with the Dystrophin Protein Complex and Muscle Fibre Regeneration in Duchenne and Becker Muscular Dystrophy Muscle Biopsies. by Narinder Janghra, Jennifer E Morgan, Caroline A Sewry, Francis X Wilson, Kay E Davies, Francesco Muntoni, Jonathon Tinsley

“…Fluorescent immunostaining followed by image analysis was performed to quantify utrophin intensity and β-dystrogylcan and ɣ -sarcoglycan intensity at the sarcolemma. …”
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