Structure-guided deep learning for back acupoint localization via bone-measuring constraints by Yulong Wang, Tian Lan, Wenjian Dou, Zhi Chen, Song Zhang, Gong Chen, Gong Chen

“…This study introduces a novel automated framework for recognizing back acupoints, uniquely integrating the traditional TCM bone-measuring principle with advanced deep learning for medical image analysis. The method employs an HRFormer backbone network combined with a Structure-Guided Keypoint Estimation Module (SG-KEM) and a structure-constrained loss function, ensuring anatomically consistent predictions within a standardized spatial coordinate system to improve accuracy across diverse body types. …”
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Surface wetting and contact angle: basics and characterisation by G. V. Beketov, O. V. Shynkarenko

“…Particular attention is paid to the method known as the Axisymmetric Drop Shape Analysis (ADSA). …”
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Visual explanation method for reversible neural networks by Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG

“…The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on the operation mechanism and explainability of reversible neural networks (RevNN).Additionally, the existing explanation methods for traditional DNN are not suitable for RevNN and suffer from issues such as excessive noise and gradient saturation.To address these limitations, a visual explanation method called visual explanation method for reversible neural network (VERN) was proposed for RevNN.VERN leverages the reversible property of RevNN and is based on the class-activation mapping mechanism.The correspondence between the feature map and the input image was explored by VERN, allowing for the mapping of classification weights of regional feature maps to the corresponding regions of the input image.The importance of each region for model decision-making was revealed through this process, which generates a basis for model decision-making.Experimental comparisons with other explanation methods on generalized datasets demonstrate that VERN achieves a more focused visual effect, surpassing suboptimal methods with up to 7.80% improvement in average drop (AD) metrics and up to 6.05% improvement in average increase (AI) metrics in recognition tasks.VERN also exhibits an 82.00% level of localization for the maximum point of the heat value.Furthermore, VERN can be applied to explain traditional DNN and exhibits good scalability, improving the performance of other methods in explaining RevNN.Furthermore, through adversarial attack analysis experiments, it is observed that adversarial attacks alter the decision basis of the model.This is reflected in the misalignment of the model’s attention regions, thereby aiding in the exploration of the operation mechanism of adversarial attacks.…”
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A Huang Clan Correction Image Reconstruction Algorithm For Electrical CapacitanceTomography System by CHEN Yu, LI Hong-yu

“…Finally，the validity of the proposed method is verified by digital simulation. The simulation experiment results show that the error of the image for extremely low layer flow，low layer flow and core flow dropped to 24. 39% ，25. 81% and 40. 91% respectively. …”
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Regeneration of Spent Nickel Catalyst via Hydrometallurgical Method by Fransisca Poppy Amelia, Erica Puspita Sari, Hafiz Norman, Muhammad Alhadilansa Salsabil, Cornelius Satria Yudha

“…The spent nickel catalyst needs to be processed to recover and avoid pollution towards the environment. The Hydrometallurgy method is a proper method to process nickel catalyst waste. …”
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Cost-effective PV panel cleaning system controlled by raspberry PI using image processing by Uçkan Gökhan, Oğuzay Engin

“…The PV panel image is divided into four equal areas for analysis. …”
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Development of an AI model for pneumothorax imaging: Dataset and model optimization strategies for real-world deployment by Wen-Chang Tseng, Yung-Cheng Wang, Wei-Chi Chen, Kang-Ping Lin

“…However, when applied to 6888 clinical images, the AUROC dropped to 62.55 %, resulting in 4294 false positives. …”
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Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm. by Guangmei Ma

“…The feature extraction layer was structurally supplemented and expressed at multiple scales in a two-dimensional linear graph. In the method training loss test, the research method achieved a loss value that dropped to near 0 after 32 iterations when training in low-contrast images. …”
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Abstract 006: Glenzocimab Is Associated With Less Haemorrhagic Transformation Using Artificial Intelligence Imaging In Mechanical Thrombectomy Patients by Andrea Comenducci, Adeline Meilhoc, Yannick Pletan, Sophie Binay, Gilles Avenard, Davide Carone, Alistair Perry, Rafael Namias, Olivier Joly, George Harston, Mikael Mazighi

“…In this sub‐analysis, Artificial Intelligence (AI) imaging biomarkers were used to assess efficacy of glenzocimab in the subgroup undergoing MT in the pooled phase 1b (dose escalation) and phase 2a (dose confirmation) studies. …”
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Innovative Technologies in the Monitoring of the Age-Related Cataract by T. N. Kiseleva, M. S. Zaitsev

“…The use of high-technologic methods demonstrated the effectiveness of eye drops 0,005 % pirenoxine in early lens opacities management.…”
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The Image Clarity Paradox: Higher CZT SPECT Contrast Does Not Always Translate to Diagnostic Accuracy for Alzheimer’s Disease by Kiyotaka Nemoto, Bryan J. Mathis, Akemi Iwasaka, Kenjiro Nakayama, Tomohiro Kaneta, Tetsuaki Arai

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MAGNETIC RESONANCE IMAGING IN THE EVALUATION OF MORPHOLOGICAL AND STRUCTURAL CHANGES OF THE VERTEBRAL BODIES OF THE LUMBAR SPINE WITH BONE MINERAL DENSITY REDUCTION by S. A. Myagkov, A. P. Myagkov, I. R. Rybak, A. S. Sementsov, S. Y. Nakonechniy, Hesso Aref

“…All patients underwent dual-energy X-ray absorptiometry (DXA) and magnetic resonance imaging (MRI). DXA has been made on the unit «Lunar PRODIGY Primo DHA» (analysis version: 11.40) manufacture GE Healthcare, according to the standard protocol with the definition of osteoporosis by WHO (1994). …”
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Quantifying pupillary dilation-induced alterations in intraocular pressure, angle, and anterior segment parameters in pseudoexfoliation syndrome using Scheimpflug imaging by Maria N. Boshra, Hossam M. Moharram, Yehia M. Khairat, M. Tarek A. Moustafa

“…The measured parameters included IOP, gonioscopy grading, and Scheimpflug imaging analysis of anterior chamber depth, anterior chamber volume, anterior chamber angle, pupillary diameter (PD), central corneal thickness (CCT), and corneal volume. …”
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A hurdle and negative binomial model approach to analyzing the gender differences in diagnostic imaging utilization under high-deductible health plans by Qingyu Hu, Sarah Zheng

“…This study explores how HDHPs enrollment affect imaging utilization rates and usage patterns among patients of different genders, and it examines the associated gender disparities across various imaging modalities.MethodsUsing data from the 2010 Thomson-Reuters MarketScan Commercial Database, we conducted a quantitative analysis employing Negative Binomial Regression and Hurdle models. …”
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A Temperature Noise Correction Method for CMOS Spatial Camera Using LSTM With Attention Mechanism by Long Cheng, Xueying Wang, Jing Xu

“…After correction in light field conditions, the average variance of images decreases to 0.29, the mean signal-to-noise ratio (SNR) increases to 80, and the photo response nonuniformity (PRNU) mean drops to 0.0161%. …”
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The phenomenon of queer strategy in female rock poetry of the 1990s (Based on the poetic texts by Diana Arbenina and Svetlana Surganova) by A.S. Afanasev

“…The material for the literary analysis is the first album of the duet “Kaplya degtya v lozhke meda” ('A Drop of Tar in a Spoon of Honey') (1998), the authentic version of which included 27 compositions. …”
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Abrasion Resistance and Mechanism Analysis of Polyethylene Fiber-reinforced Cementitious Composite by ZI Jinjia, LI Weibin, WANG Jihong, WANG Zhiwen, LIU Yunjun, NONG Qingshun, LI Bixiong

“…The abrasion resistance was measured using the underwater steel ball method specified in SL/T 352-2020 with a HKCM-2 concrete abrasion apparatus. …”
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Connectivity guided intermittent theta burst stimulation versus repetitive transcranial magnetic stimulation in moderately severe treatment resistant depression by Richard Morriss, Lucy Webster, Luke Ingram, Mohamed Abdelghani, Adriana Anton, Shaun Barber, Peter Bates, Paul Briley, Clement Boutry, Cassandra Brookes, Edward Cox, Beth Hall, Marilyn James, Matthew Keane, Micheal Kurkar, Sudheer Lankappa, Peter Liddle, Hamish McAllister-Williams, Hyerin Oh, Alexander O’Neill-Kerr, Jehill Parikh, Stefan Pszczolkowski, Ana Suazo Di Paola, Louise Thomson, Yvette Walters, Dorothee Auer

“…Qualitative methods and analysis A purposive sample was collected of participants and non-participants to explore facilitators and barriers to participation in the trial, and the acceptability of the trial treatments. …”
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Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva

“…Image and video content were analyzed using scene recognition models (Places365) and contextual alignment models (CLIP), while text data were processed using the BERTopic model for topic modeling and a pre-trained model for emotion analysis. …”
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Deep learning approach with ConvNeXt-SE-attn model for in vitro oral squamous cell carcinoma and chemotherapy analysis by Abhay Nath, Om Roy, Priyanka Silveri, Sanskruti Patel

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