Clinical experiences with robotic computed tomography-guided interventions: A comparison with manual technique by Ashwin Kumar A, Sivakumar Kannappan, Geetha G

“…Background: Image-guided biopsies have become standard practice; however, challenges such as multiple punctures and re-attempts can complicate procedures. …”
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Noninvasive in vivo assessment of placental insufficiency using pCASL: a prospective case–control study by Ghada Awad, Alaa Mohamed Reda, Rasha Lotfy Younis, Manal Mostafa Hassan, Rania Essam Eldin Mohamed Ali

“…Abstract Background Arterial spin labeling is a noninvasive imaging modality that does not use contrast for evaluation of placental perfusion in the placental pathological conditions. …”
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Beyond Weight Loss: Establishing a Postbariatric Surgery Patient Support Group—What Do Patients Want? by Saira Hameed, Victoria Salem, Tricia M. Tan, Alma Collins, Krishna Shah, Samantha Scholtz, Ahmed R. Ahmed, Harvinder Chahal

“…More research is required to ascertain how such a group should be delivered, but our data would suggest that supporting patients with weight loss maintenance, body image, and return to work is an important part of postoperative care, and these needs extend well beyond the immediate period of specialist follow-up.…”
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Feasibility Study of an Alcohol-Based Liquid Scintillation Detector and Its Application by Byoung Chan Kim, Ji Young Choi, Kyung Kwang Joo, Seon Yeong Park, Ye Sung Song, Hee Jin Woo

“…The measurement results were compared with a Monte Carlo simulation, Novalis Tx, a phantom, and a CT image. In the near future, the new alcohol-based liquid scintillator could be used for particle detector or medical imaging applications.…”
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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…The proposed SC2SSP approach attains 3.101% and 7.12% higher accuracy; 24.13% and 13.04% higher precision compared with existing methods, like the Detection of COVID-19 from Chest X-ray Images Using Convolutional Neural Networks (Resnet50), Deep learning for automated recognition of covid-19 from chest X-ray images (VGGNet), respectively. …”
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Comparative in vitro study of a new silicone mouth swab for soft tissue cleaning under wet and dry brushing conditions by Nutthawadee Engsomboon, Bhornsawan Thanathornwong, Siriwan Suebnukarn

“…The MC3 silicone head (n = 12) and the new silicone head (n = 12) were attached to a V.P.2000 tooth brushing machine, operating at 75 rounds per minute with a force of 2.45 N, and each was used to brush the surface 25 times under both wet (n = 12) and dry (n = 12) conditions. The ImageJ program was used to analyze and quantify the area where the pseudo-plaque was removed after brushing. …”
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Surveying Nearshore Bathymetry Using Multispectral and Hyperspectral Satellite Imagery and Machine Learning by David Hartmann, Mathieu Gravey, Timothy David Price, Wiebe Nijland, Steven Michael de Jong

“…Sentinel-2 imagery is recommended over PRISMA imagery for estimating shallow bathymetry given its similar performance, much higher image availability and easier handling. Future studies are recommended to train neural networks with images from various regions to increase generalization and method portability. …”
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Using Attention for Improving Defect Detection in Existing RC Bridges by Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Reno, Giuseppina Uva

“…To this end, domain experts gathered and labelled a dataset of real images containing typical defects found in existing RC bridges. …”
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Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes by Cheng C, Wang Y, Zhao J, Wu D, Li H, Zhao H

“…They are extensions of conventional imaging diagnostic methods and have demonstrated tremendous potential in image segmentation, reconstruction, recognition, and classification. …”
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Feldspar Dissolution and Its Influence on Reservoirs: A Case Study of the Lower Triassic Baikouquan Formation in the Northwest Margin of the Junggar Basin, China by Meng Xiao, Xuanjun Yuan, Dawei Cheng, Songtao Wu, Zhenglin Cao, Yong Tang, Zongrui Xie

“…Based on the analyses of core and thin section observations, QEMSEM, XRD, SEM, CL, fluorescence, and image analysis software combined with logging and physical property data, this study shows that feldspar dissolution in the subaqueous distributary channel of a fan delta plain, which has good original physical properties and low mud contents, significantly improves the properties of the reservoir. …”
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Research on refined UAV inspection method of wind/solar power stations based on YOLOv8 by Jieyi Pu, Qifeng Zhang, Wenbo Zhao, Wei Zhang, Zengren Qin, Yumeng Zhang

“…Finally, multi-angle wind turbine imaging photos in desert, hill, rice field, and other scenes are quickly simulated by computer simulation software to improve the model generalization performance. …”
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The characters of fairy tales in the children's book illustration: a dragon and a witch by Ingrida Korsakaitė

“…Although the image of the dragon created in Lithuanian children's books is rather varied, it is not original enough to transcend its traditional representation. …”
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Banksia Ashbyi-engineered facile green synthesis of magnetite nanoparticles: Characterization, and determination of micro-strain, stress, and physical parameters by X-ray-based Wil... by Gérrard Eddy Jai Poinern, A F M Fahad Halim, Derek Fawcett, Peter Chapman, Rupam Sharma

“…FT-IR analysis revealed the presence of a Fe–O band located at 551 cm-1, which confirmed the formation of BA-MNPs. Both FIBSEM and TEM image analysis confirmed the nanoparticles were spherical in shape and had a mean diameter of 18 nm with a particle distribution that ranged between 13 and 23 nm. …”
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PZS‐Net: Incorporating of Frame Sequence and Multi‐Scale Priors for Prostate Zonal Segmentation in Transrectal Ultrasound by Jianguo Ju, Qian Zhang, Pengfei Xu, Tiange Liu, Cheng Li, Ziyu Guan

“…Extensive experiments on TRUS image datasets show that the PZS‐Net achieves higher accuracy in both the transitional zone (dice coefficient [Dice]: 68.90% ± 1.73%, mean intersection over union [mIoU]: 59.19% ± 2.09%, 95% Hausdorff distance [HD95]: 5.02 ± 0.83 mm) and the peripheral zone (Dice: 63.99% ± 3.16%, mIoU: 54.60% ± 3.35%, HD95: 5.28 ± 1.12 mm) and demonstrates the effectiveness and competitiveness of its key components via comprehensive ablation studies.…”
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Personal Identification Using Embedded Raspberry Pi-Based Face Recognition Systems by Sebastian Pecolt, Andrzej Błażejewski, Tomasz Królikowski, Igor Maciejewski, Kacper Gierula, Sebastian Glowinski

“…The system leverages characteristic facial features—distinct, measurable attributes used to identify and differentiate faces within images. A biometric facial recognition system was implemented on a Raspberry Pi microcomputer, capable of detecting and identifying faces using a self-contained reference image database. …”
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Pengenalan Jalan Berlubang Berbasis Vision Menggunakan Pyramid Histogram Of Oriented Gradients by Ahmad Habib Fitriansyah, Ema Rachmawati, Risnandar Risnandar

“…This article presents a new approach using image processing and machine learning to identify potholes on roads. …”
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Understanding perception of the radiology community concerning virtual reality (VR) and augmented reality (AR) technology in radiology education by Suneet Paulson, Dwight Figueiredo, Sushant Matre

“…Abstract Background Radiology education is crucial in developing the fundamental skills and knowledge for effectively interpreting medical images, planning interventions, and providing high-quality patient care. …”
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The root canal morphology of mandibular anterior teeth and its correlation with the occurrence of three-rooted mandibular first molars by ZHU Peng, GU Yongchun, WU Yihan, XU Xiaoming

“…Objective To study the root canal morphology of permanent mandibular anterior teeth and explore its correlation with the occurrence of three-rooted mandibular molars using cone beam computed tomographic (CBCT) imaging. Methods CBCT image data of 200 subjects were randomly collected from dental clinics. …”
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Portable Handheld Slit-Lamp Based on a Smartphone Camera for Cataract Screening by Shenming Hu, Hong Wu, Xinze Luan, Zhuoshi Wang, Mary Adu, Xiaoting Wang, Chunhong Yan, Bo Li, Kewang Li, Ying Zou, Xiaoya Yu, Xiangdong He, Wei He

“…Smartphones can be used with portable slit-lamps to capture the images of the lens.…”
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Efficient and accurate identification of maize rust disease using deep learning model by Pei Wang, Pei Wang, Jiajia Tan, Yuheng Yang, Yuheng Yang, Tong Zhang, Pengxin Wu, Xinglong Tang, Hui Li, Xiongkui He, Xinping Chen

“…The model achieved an accuracy of 94.6%, average accuracy of 91.6%, recall rate of 85.4%, and F1 value of 0.823, outperforming Faster-RCNN and SSD models by 16.35% and 12.49% in classification accuracy, respectively, and detecting a single rust image at 16.18 frames per second. Deployed on mobile phones, the model enables real-time data collection and analysis, supporting effective detection and management of large-scale outbreaks of rust in the field.…”
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