Prospects for optimizing the provision of medicines to pediatric patients based on the development of the pharmaceutical market in the segment of medicines for children by O. D. Nemyatykh, E. A. Kovaleva, I. A. Narkevich

“…The Russian pharmaceutical market is characterized by a monotonous and persistent tendency to expand the assortment matrix and increase the indicators of real and potential capacity, including in the segment of medicines for pediatrics. However, despite the introduction of new market positions for children into civil circulation, the gradual accumulation of data on the safety, clinical and clinical-economic effectiveness of drugs in the pediatric population, the expansion of the panel of possibilities of production pharmacies, the change in the legal status of registered drugs prescribed by off-label, based on evidence-based experience of use for a new purpose, the issues of the validity of medical prescriptions with an acceptable profile of convincing evidence in relation to pediatric patients in the context of the occurrence and development of a number of pathologies remain open.Aim. …”
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A Case for Automated Segmentation of MRI Data in Neurodegenerative Diseases: Type II GM1 Gangliosidosis by Connor J. Lewis, Jean M. Johnston, Precilla D’Souza, Josephine Kolstad, Christopher Zoppo, Zeynep Vardar, Anna Luisa Kühn, Ahmet Peker, Zubir S. Rentiya, Muhammad H. Yousef, William A. Gahl, Mohammed Salman Shazeeb, Cynthia J. Tifft, Maria T. Acosta

“…However, in our study, we produced results comparable to those obtained with a manual segmentation process. While manual segmentation processes conducted by neuroradiologists remain the gold standard, we present evidence to the capabilities and advantages of using an automated process that includes the ability to segment white matter throughout the brain or analyze large datasets, which pose feasibility issues to fully manual processes. …”
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Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism by Chen Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, Bing Wu

“…To address this issue, this paper introduces Ship Contour, a real-time segmentation method for ship instances based on contours that detects ship targets using an improved CenterNet algorithm. …”
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CSNet: A Remote Sensing Image Semantic Segmentation Network Based on Coordinate Attention and Skip Connections by Jiahao Li, Hongguo Zhang, Liang Chen, Binbin He, Huaixin Chen

“…To address this issue and enable fast and accurate segmentation of remote sensing images, we made improvements based on SegNet and named the enhanced model CSNet. …”
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Rapid arc extinguishing of a double-ended electromagnetic air-blast segmented arc-extinguishing device by Xiong LI, Tingfang YANG, Huikang ZHOU, Wenchao YANG, Minghao FENG, Chao ZHUO

“…To address the issue of decreased reliability in power transmission caused by the incapability of existing parallel protection gaps to actively extinguish arcs，a method utilizing the power-flow current flowing through coil to generate a magnetic field，and employing electromagnetic force to drive a piston to compress air and jet high-speed airflow for arc extinction is proposed. …”
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A high precision method of segmenting complex postures in Caenorhabditis elegans and deep phenotyping to analyze lifespan by Bingyue Dong, Weiyang Chen

“…However, the overlap of body postures in group behavior and the similarity of movement patterns between strains pose challenges to accuracy analysis. To address this issue, we designed the WormYOLO model based on the YOLO architecture, which improves the segmentation performance of C .elegans and effectively handles overlapping poses in images. …”
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PS-SLAM: A Visual SLAM for Semantic Mapping in Dynamic Outdoor Environment Using Panoptic Segmentation by Gang Li, Jinxiang Cai, Chen Huang, Hao Luo, Jian Yu

“…Although methods that address dynamic features in scenes rely on semantic segmentation, they neglect the issue of unknown areas that arise during segmentation. …”
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SemABC: Semantic-Guided Adaptive Bias Calibration for Generative Zero-Shot Point Cloud Segmentation by Yuyun Wei, Meng Qi

“…Existing generative point cloud semantic segmentation approaches rely on generators trained on seen classes to synthesize visual features for unseen classes in order to help the segmentation model gain the ability of generalization, but this often leads to a bias toward seen classes. …”
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GeoAI Dataset for Urbanized Area Segmentation from Landsat 8/9 Satellite Imagery and GEMS by Sung-Hyun Gong, Hyung-Sup Jung, Geun-Han Kim, Geun-Hyouk Han, Il-Hoon Choi, Jin-Sung Hong

“…In South Korea, air pollution has emerged as a pressing social issue, necessitating data-driven approaches to monitor sources of air pollutants. …”
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Exploring the influence of the critical factors on intentions of employee turnover in the banking segment: a comprehensive mediating analysis by Mohammad Alnehabi, Al-Baraa Abdulrahman Al-Mekhlafi

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A Few-Shot Learning-Based Point Cloud Semantic Segmentation Network for Tunnel Lining Inspection by Ziyi Li, Nan Jiang, Lihong Tong

“…First, due to the prevalent issue of sample imbalance in tunnel point cloud data, we introduce few-shot learning to tackle this challenge, enabling the model to perform effective semantic segmentation with limited data samples. …”
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Wetland Scene Segmentation of Remote Sensing Images Based on Lie Group Feature and Graph Cut Model by Canyu Chen, Guobin Zhu, Xiliang Chen

“…To address the issue of low segmentation accuracy on remote sensing image with GrabCut, this study proposes a remote sensing image segmentation extraction method, named SceneCut, based on feature extraction and multifeature joint graph cuts. …”
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Development of a Cost-Efficient and Glaucoma-Specialized OD/OC Segmentation Model for Varying Clinical Scenarios by Kai Liu, Jicong Zhang

“…The results demonstrate the superior performance of our proposed model across multi-scenarios, showcasing its proficiency in both the segmentation- and glaucoma-related metrics. In summary, our study illustrates a concerted effort to target confirmed glaucoma samples, mitigating the inherent bias issue in most existing models. …”
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LA-ResUNet: An Efficient Linear Attention Mechanism in ResUNet for the Semantic Segmentation of Pulmonary Nodules by P. C. Sarah Prithvika, L. Jani Anbarasi

“…Numerous people die from lung cancer every year, making it a serious public health issue. Oftentimes, the symptoms of lung cancer manifest only at a later stage, when it is difficult to treat. …”
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Synergistic Semantic Segmentation and Height Estimation for Monocular Remote Sensing Images via Cross-Task Interaction by Xuanang Peng, Shixin Wang, Futao Wang, Jinfeng Zhu, Suju Li, Longfei Liu, Zhenqing Wang

“…However, due to factors such as complex semantic categories and the inconsistent spatial scales of remotely sensed images, existing multi-task learning methods often fail to achieve better results on these two tasks. To address this issue, we propose CTME-Net, a novel architecture termed the Cross-Task Mutual Enhancement Network, designed to jointly perform height estimation and semantic segmentation tasks on remote sensing imagery. …”
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DiffMamba: semantic diffusion guided feature modeling network for semantic segmentation of remote sensing images by Zhen Wang, Nan Xu, Zhuhong You, Shanwen Zhang

“…To address this issue, based on Diffusion Model and State Space Model (SSM), we propose a semantic diffusion guided feature modeling network (DiffMamba) for HR-RSI semantic segmentation. …”
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Video Instance Segmentation Through Hierarchical Offset Compensation and Temporal Memory Update for UAV Aerial Images by Ying Huang, Yinhui Zhang, Zifen He, Yunnan Deng

“…To address this issue, we propose a hierarchical offset compensation and temporal memory update method for video instance segmentation (HT-VIS) with a high generalization ability. …”
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Deep learning-based image classification of sea turtles using object detection and instance segmentation models. by Jong-Won Baek, Jung-Il Kim, Chang-Bae Kim

“…Recently, instance segmentation models have been developed to address this issue by providing more accurate classification of complex images compared to traditional object detection models. …”
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A Remote Sensing Semantic Self-Supervised Segmentation Model Integrating Local Sensitivity and Global Invariance by Buxun Zhang, Xiaoyan Guo, Sen Yang

“…Self-supervised semantic segmentation is a crucial approach for addressing the issue of insufficient labeled data. …”
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Geodynamic and Isotopic Constraints on the Genesis of Kimberlites, Lamproites and Related Magmas From the Finnish Segment of the Karelian Craton by Hayden Dalton, Andrea Giuliani, Janet Hergt, David Phillips, Hugh O’Brien, Maxim D. Ballmer, Roland Maas, Jon Woodhead

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