Showing 21 - 40 results of 1,755 for search 'issues segmentation', query time: 0.05s Refine Results
  1. 21

    Changes in the posterior segment of the eye in patients with keratoconus by E. E. Ioyleva, A. Y. Safonenko

    Published 2018-10-01
    “…Changes in the posterior segment of the eye in patients with keratoconus. Russian ophthalmological journal. 2018; 11 (1): 99-102. doi: 10.21516/2072-0076-2018-11-1-99-102 (In Russian).…”
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  2. 22

    Tuning-Free Universally-Supervised Semantic Segmentation by Xiaobo Yang, Xiaojin Gong

    Published 2024-01-01
    “…This work presents a tuning-free semantic segmentation framework based on classifying SAM masks, which is universally applicable to various types of supervision. …”
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  3. 23

    Text-Guided Refinement for Referring Image Segmentation by Shuang Qiu, Shiyin Zhang, Tao Ruan

    Published 2025-05-01
    “…Referring image segmentation aims to segment an object described by a natural language expression from an image. …”
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  4. 24

    Border Feature Enhancement in Ultrasound Image Segmentation by Xianghao Cui, Qingjing Fei, Ruixuan Li, Wen Xiong, Fang Hou, Zhi Chen, Qi He

    Published 2025-01-01
    “…To address this issue, we propose a novel boundary enhancement scheme that improves segmentation accuracy by incorporating a complementary decoder structure (Bor-decoder). …”
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    ISSUES OF IDENTIFICATION OF NON-SMOKING TOBACCO PRODUCTS by T. A. Don, S. V. Kalashnikov, A. G. Mirgorodskaya

    Published 2020-11-01
    “…The consumer market for tobacco products is highly segmented by type of product, assortment, taste preferences of consumers and cost: these are traditional cigarettes, cigars, cigarillos, pipe and smoking tobacco, as well as  innovative products – various types of nonsmoking products – oral tobacco (sucking, chewing) and nasal (snuff).Traditional types of tobacco products are well studied, have clearly defined requirements formulated in government documents.Recently appeared in a large assortment of non-smoking tobacco products are positioned by manufacturers as a less toxic alternative to smoking tobacco and the possibility of painless smoking cessation.In this situation there is a need to reduce toxicity and to produce high quality products.Identification issues step forward, i.e. attribution of products to one form or another.In particular, the identification of non-smoking oral tobacco tobaccos, which have similar methods of consumption, component composition and differ only in individual technological methods, is very serious.The article deals with important and relevant issues of identification of non-smoking tobacco products and methods for determining technological indicators.As a result of the studies, the identification features of chewing tobacco have been established and draft methods for determining the fractional composition and humidity of chewing tobacco developed.…”
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    CURRENT PERSPECTIVE ON THE ISSUE OF REPEATED PROSTHETIC TREATMENT by A.M. Ramus, D.M. Korol, M.O. Ramus, V.O. Kurylo

    Published 2023-12-01
    “… This work highlights the relevance of research in the field of orthopedic dentistry, specifically focusing on the issue of repeated prosthetic treatment. Ensuring a high level of dental health is a primary goal for dental professionals and is of great importance to both patients and practitioners. …”
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    Machine Learning Methods in Customer Segmentation and Recommendation Systems by Guo Yiran

    Published 2025-01-01
    “…Banks use machine learning for segmentation and fraud detection, and PCA improves anomaly detection by 15%. …”
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  11. 31

    Strategic Segmentation – The Preamble of Developing a Company Strategy by Vasile DEAC, Aurelia STĂNESCU

    Published 2014-10-01
    “…In this article based on research conducted in several national and international companies we will adress the key issues of strategic segmentation, identifying the errors to be avoided. …”
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  12. 32

    Mitigating Class Confusion in Class-Incremental Semantic Segmentation by Nayoung Ko, Gyeong-Hyeon Kim, Eunwoo Kim

    Published 2025-01-01
    “…Class-incremental semantic segmentation (CSS) aims to continuously classify every pixel in an image to its corresponding semantic class. …”
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  13. 33

    WaterSAM: Adapting SAM for Underwater Object Segmentation by Yang Hong, Xiaowei Zhou, Ruzhuang Hua, Qingxuan Lv, Junyu Dong

    Published 2024-09-01
    “…The scarcity of underwater datasets further complicates these challenges. The Segment Anything Model (SAM) has shown potential in addressing these issues, but its adaptation for underwater environments, AquaSAM, requires fine-tuning all parameters, demanding more labeled data and high computational costs. …”
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  14. 34

    Attention residual network for medical ultrasound image segmentation by Honghua Liu, Peiqin Zhang, Jiamin Hu, Yini Huang, Shanshan Zuo, Lu Li, Mailan Liu, Chang She

    Published 2025-07-01
    “…In the wake of the advancement of deep learning, its application in medical image segmentation is becoming increasingly prevalent. For instance, while the U-Net model has demonstrated a favorable performance in medical image segmentation, the convolution layers of the traditional U-Net model are relatively simplistic, leading to suboptimal extraction of global information. …”
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  15. 35

    Localization and Pixel-Confidence Network for Surface Defect Segmentation by Yueyou Wang, Zixuan Xu, Li Mei, Ruiqing Guo, Jing Zhang, Tingbo Zhang, Hongqi Liu

    Published 2025-07-01
    “…To address these issues, this study proposes a two-stage image segmentation network that integrates a Defect Localization Module and a Pixel Confidence Module. …”
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    Segmentation Techniques Applied to CNNs for Cervical Cancer Classification by Ana Ortiz-Gonzalez, Raquel Martinez-Espana, Juan Morales-Garcia, Baldomero Imbernon, Jose Martinez-Mas, Mauricio A. Alvarez, Oscar David Romero, Juan Pedro Martinez-Cendan, Andres Bueno-Crespo

    Published 2025-01-01
    “…Cervical cancer continues to be a significant global health issue, ranking as the fourth most prevalent cancer affecting women. …”
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  18. 38

    Automated Tunnel Point Cloud Segmentation and Extraction Method by Zhe Wang, Zhenyi Zhu, Yong Wu, Qihao Hong, Donglai Jiang, Jinbo Fu, Sifa Xu

    Published 2025-03-01
    “…To address the issue of inaccurate tunnel segmentation caused by solely relying on point cloud coordinates, this paper proposes two algorithms, GuSAC and TMatch, along with a ring-based cross-section extraction method to achieve high-precision tunnel lining segmentation and cross-section extraction. …”
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  19. 39

    Sparse point annotations for remote sensing image segmentation by Sixian Chan, Wangjie Zhou, Yanjing Lei, Chao Li, Jie Hu, Feng Hong

    Published 2025-07-01
    “…While point annotations are easier to acquire than pixel-wise annotations, they lack detailed contour information and spatial coverage. To address this issue, we propose the Point-Based Expand Network (PENet) for Remote Sensing Semantic Segmentation (RSSS). …”
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  20. 40

    Is the Prevalence of Focal and Segmental Glomerulosclerosis Increasing in the Province of Khuzestan? by Seyed Seifollah Beladi Mousavi, Fatemeh Hayati, Heshmatollah Shahbazian

    Published 2012-05-01
    “…Background & Objective: There is evidence that focal segmental glomerulosclerosis (FSGS) has become an important cause of adult primary nephrotic syndrome (PNS) in the USA and many other countries and the aim of this study was to evaluate this issue in the province of Khuzestan, Iran.Subjects and Methods: In a cross sectional and prospective study from January 1998 to September 2012, all the patients with PNS who referred to Imam Khomeini hospital of Ahwaz, Iran were evaluated. …”
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