Public Segmentation and the Impact of AI Use in E-Rulemaking by Loarre Andreu Perez, Matthew L. Jensen, Elena Bessarabova, Neil Talbert, Yifu Li, Rui Zhu

“…This research uses the situational theory of problem-solving as a framework, segmenting publics based on their problem recognition, constraints, and involvement with a specific issue, then predicting how each public behaves. …”
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Detection and Identification of Dental Caries Using Segmentation Techniques by Noor A. Ibraheem

“… Dental caries, also named tooth decay, is a major issue for oral health and is caused by bacteria in dental plaque. …”
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Scanner-specific optimisation of automated lesion segmentation in MS by David R. van Nederpelt, Giuseppe Pontillo, Mar Barrantes-Cepas, Iman Brouwer, Eva M.M. Strijbis, Menno M. Schoonheim, Bastiaan Moraal, Bas Jasperse, Henk-Jan M.M. Mutsaerts, Joep Killestein, Frederik Barkhof, Joost P.A. Kuijer, Hugo Vrenken

“…Background & Objective: Automatic lesion segmentation techniques on MRI scans of people with multiple sclerosis (pwMS) could support lesion detection and segmentation in trials and clinical practice. …”
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State of the art in acute glaucoma attack predisposition issue by N. A. Bakunina

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SOME ISSUES OF SURGICAL TREATMENT POLICY FOR LARYNX CANCER by E. A. Glezerov, D. S. Svyatoslavov, V. D. Skvirsky, D. V. Rogozhin

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Methodological Issues in Analyzing Financial Development in the Context of ESG by K. V. Krinichansky, B. B. Rubtsov

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Taxation of personal income in the context of issues of social fairness by N. M. Artemov, K. A. Ponomareva

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Enhanced Skin Lesion Segmentation and Classification Through Ensemble Models by Su Myat Thwin, Hyun-Seok Park

“…This study addresses challenges in skin cancer detection, particularly issues like class imbalance and the varied appearance of lesions, which complicate segmentation and classification tasks. …”
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Synergistic Multi-Granularity Rough Attention UNet for Polyp Segmentation by Jing Wang, Chia S. Lim

“…Automatic polyp segmentation in colonoscopic images is crucial for the early detection and treatment of colorectal cancer. …”
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Specifics of investing in different segments of the financial market of the Russian economy by S. A. Anesyants

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An efficient camouflaged image segmentation with modified UNet and attention techniques by Isha Padhy, Prabhat Dansena, Sampa Sahoo, Rahul Priyadarshi

“…Traditional models, including the standard UNet architecture, struggle with this task due to ambiguous object boundaries, texture similarity between object and background, and over-segmentation or under-segmentation caused by redundant skip connections. …”
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An Improved Northern Goshawk Optimization Algorithm for Mural Image Segmentation by Jianfeng Wang, Zuowen Bao, Hao Dong

“…To alleviate the aforementioned issues, this paper proposes a mural image segmentation algorithm based on OPBNGO by integrating the Northern Goshawk Optimization (NGO) algorithm with the off-center learning strategy, partitioned learning strategy, and Bernstein-weighted learning strategy. …”
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An improved multi-object instance segmentation based on deep learning by Nawaf Alshdaifat, Mohd Azam Osman, Abdullah Zawawi Talib

“…However, given the difficulties in adopting object detection and the instance segmentation approach, this study aims to develop an approach to overcome these issues by proposing a new approach based on the recent DL approach in addition to developing an approach for object instance segmentation. …”
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Evaluating segmentation methods for UAV-Based Spoil Pile Delineation by Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F Glenn, Simit Raval

“…Among the diverse segmentation approaches evaluated, the morphology-based deep learning segmentation approach, Segment Anything Model (SAM), exhibited superior performance compared to other approaches. …”
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Optimized Detection Algorithm for Vertical Irregularities in Vertical Curve Segments by Rong Xie, Chunjun Chen

“…However, dynamic detection in these segments has consistently encountered issues with long-wavelength vertical irregularities exceeding tolerance limits. …”
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Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation by Fang Liu, YanDuo Zhang, Tao Lu, Jiaming Wang, LiWei Wang

“…Abstract Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data. …”
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Multi-module UNet++ for colon cancer histopathological image segmentation by Qi Liu, Zhenfeng Zhao, Yingbo Wu, Siqi Wu, Yutong He, Haibin Wang, Shenwen Wang

“…Abstract In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellular contours serves as the fundamental basis for achieving accurate clinical diagnosis. …”
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Deep-Learning-Based Segmentation of Cells and Analysis (DL-SCAN) by Alok Bhattarai, Jan Meyer, Laura Petersilie, Syed I. Shah, Louis A. Neu, Christine R. Rose, Ghanim Ullah

“…This leads to the incorporation of blinded analysis, which ensures that the outcome is free from user bias to a certain extent but is extremely time-consuming. To overcome these issues, we developed a tool called DL-SCAN that automatically segments and analyzes fluorophore-stained regions of interest such as cell bodies in fluorescence microscopy images using deep learning. …”
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Optimal Res-UNET architecture with deep supervision for tumor segmentation by Rahman Maqsood, Fazeel Abid, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed, Onur Osman, Shtwai Alsubai

“…BackgroundBrain tumor segmentation is critical in medical imaging due to its significance in accurate diagnosis and treatment planning. …”
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Semantic segmentation of underwater images based on the improved SegFormer by Bowei Chen, Bowei Chen, Wei Zhao, Wei Zhao, Qiusheng Zhang, Mingliang Li, Mingyang Qi, You Tang, You Tang, You Tang

“…Nevertheless, given the complexity and variability of the underwater environment, improving model accuracy remains a key challenge in underwater image segmentation tasks. To address these issues, this study presents a high-performance semantic segmentation approach for underwater images based on the standard SegFormer model. …”
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