AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

“…Therefore, a novel nucleus segmentation method based on the U-Net architecture is proposed to overcome this issue. …”
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Infrared Aircraft Detection Algorithm Based on High-Resolution Feature-Enhanced Semantic Segmentation Network by Gang Liu, Jiangtao Xi, Chao Ma, Huixiang Chen

“…By utilizing a serial structure of dilated convolutions with small dilation rates, this module addresses the issue of feature information loss when expanding the receptive field through dilated spatial pyramid pooling. …”
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SSMM-DS: A semantic segmentation model for mangroves based on Deeplabv3+ with swin transformer by Zhenhua Wang, Jinlong Yang, Chuansheng Dong, Xi Zhang, Congqin Yi, Jiuhu Sun

“…In this study, we propose a semantic segmentation model for mangroves based on Deeplabv3+ with Swin Transformer, abbreviated as SSMM-DS. …”
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A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency by Yinxia Cao, Xin Huang, Qihao Weng

“…Given this challenge, this study introduces sparse point labels, a type of cost-effective weak labels, for semantic segmentation. Existing weakly-supervised methods often leverage low-level visual or high-level semantic features from networks to generate supervision information for unlabeled pixels, which can easily lead to the issue of label noises. …”
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An Efficient Semantic Segmentation Framework with Attention-Driven Context Enhancement and Dynamic Fusion for Autonomous Driving by Jia Tian, Peizeng Xin, Xinlu Bai, Zhiguo Xiao, Nianfeng Li

“…Achieving an effective balance between speed and accuracy has thus become a central challenge in this field. To address this issue, we present a lightweight semantic segmentation model tailored for the perception requirements of autonomous vehicles. …”
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Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees by Mitch Bryson, Ahalya Ravendran, Celine Mercier, Tancred Frickey, Sadeepa Jayathunga, Grant Pearse, Robin J.L. Hartley

“…Supervised deep learning algorithms have recently achieved state-of-the-art performance in the classification, segmentation and analysis of 3D LiDAR point cloud data in a wide-range of applications and environments. …”
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A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection by Tathagat Banerjee, Davinder Paul Singh, Pawandeep Kour, Debabrata Swain, Shubham Mahajan, Seifedine Kadry, Jungeun Kim

“…Abstract Segmenting liver tumors in medical imaging is pivotal for precise diagnosis, treatment, and evaluating therapy outcomes. …”
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On the Issue of Optimizing Surgical Tactics and Blood-Saving Techniques in Case of Placenta Ingrowth Into the Uterine Scar by Z. D. Karimov, B. S. Abdikulov

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Social Media Risk Perceptions of Human Resource Professionals: Issues Undergraduate Students Should Consider by Julio C. Rivera, Jack Howard, Samuel Goh, James L. Worrell, Paul Di Gangi

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THE NEED FOR THE VOLUNTARY QUALITY CERTIFICATION SCHEMES IN FOOD INDUSTRY. A CRITICAL OVERVIEW ON DUALSTANDARD ISSUE by Decebal-Ștefăniță PĂDURE, Petru ALEXE, Nicoleta STĂNCIUC, Marius Mihai MICU

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IMPLICATIONS OF COVID-19 ON TEXTILES INDUSTRY IN INDIA - DISCOVERING ISSUES AND CHALLENGES ON DEMAND AND SUPPLY SIDES by ARAVAMUDHAN Varadaraj, SAI MOHANRAJ Prasanna, SENGODAN Ananth

“…In this context, this study is aimed to discuss the implications of COVID-19 in textiles sector in India along with major issues and challenges on demand and supply sides. …”
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LIMITATIONS ON PRIMARY PERCUTANEOUS CORONARY INTERVENTION FOR ST-SEGMENT ELEVATION ACUTE MYOCARDIAL INFARCTION IN THE CLINICAL PRACTICE by V. V. Kashtalap, A. M. Kochergina, S. A. Makarov, V. Yu. Kheraskov, O. L. Barbarash

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ANF-Net: A Refined Segmentation Network for Road Scenes with Multiple Noises and Various Morphologies of Cracks by Xiao Hu, Qihao Chen, Xiuguo Liu, Gang Deng, Cheng Chi, Bin Wang

“…However, challenges persist due to the presence of numerous noisy pixels in the image background and the diverse and intricate morphologies of cracks, leading to issues such as misclassification and omission. To address these issues, this paper proposes a refined pixel-level segmentation network (ANF-Net) suitable for complex crack detection scenarios with high noise levels and diverse crack morphologies. …”
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Redefining dental image processing: De-convolutional component with residual prolonged bypass for enhanced teeth segmentation by Prasun Kumar, Verma Anil, Mishra Rajiv

“…Hence, AI techniques are used to obtaining precise outcomes for dental-related issues. The conventional ML (Machine Learning) techniques are inefficient for obtaining enhanced outcomes as the efficiency of ML techniques heavily depends on image processing approaches. …”
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DEFIF-Net: A lightweight dual-encoding feature interaction fusion network for medical image segmentation. by Zhanlin Ji, Shengnan Hao, Quanming Zhao, Zidong Yu, Hongjiu Liu, Lei Li, Ivan Ganchev

“…To address these issues, a lightweight Dual-Encoding Feature Interaction Fusion network (DEFIF-Net) is proposed in this paper for medical image segmentation. …”
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DBTU-Net: A Dual Branch Network Fusing Transformer and U-Net for Skin Lesion Segmentation by Wanqing Peng, Jiaojiao Li, Dandan Lai, Qiaomin Lin, Ying Han, Guangrong Huang

“…However, the complexity of skin lesion regions, the ambiguity of their boundaries, and issues such as hair occlusion pose challenges for the segmentation of skin lesions. …”
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MedFusion-TransNet: multi-modal fusion via transformer for enhanced medical image segmentation by Jianfei Sun

“…IntroductionMedical image segmentation is essential for analyzing medical data, improving diagnostics, treatment planning, and research. …”
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Left ventricular segmentation method based on optimized UNet and improved CBAM: ESV and EDV tracking study. by Kerang Cao, Miao Zhao, Minghui Geng, Shuai Zheng, Hoekyung Jung

“…To further stabilize training and address gradient issues, we combine binary cross-entropy and Dice loss functions. …”
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Incremental mining of periodic patterns of inadequately informed communication data based on fuzzy segmentation of time series by Miaomiao Li

“…In this regard, we investigate an incremental mining method for cycle patterns in insufficient-information communication data based on fuzzy time series segmentation. This method downgrades the insufficient information communication data to address uneven length issues. …”
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Segment routing for WSN using hybrid optimization with energy-efficient game theory-based clustering technique by S. Sangeetha, T. Aruldoss Albert Victoire, M. Premkumar, R. Sowmya

“…The approach consists of node deployment using Voronoi diagrams, clustering, and Cluster Head (CH) selection using energy-efficient game theory, and a routing strategy based on Improved Pelican Optimization (ImPe) segment routing. Random deployment of sensor nodes in WSNs can lead to coverage issues, and hence, in order to address this, Voronoi-based node deployment is employed to ensure uniform and balanced coverage of the monitoring area. …”
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