Results 51 to 60 of about 36,291,018 (255)

YOLOv10-CBRC: A high-precision document image layout analysis model

Journal of King Saud University: Computer and Information Sciences
Tibetan document layout analysis (DLA) is a crucial aspect of the digitization of Tibetan documents. However, two significant issues persist: (1) the inadequacy of Tibetan document datasets;(2) insufficient utilization of layout information by existing ...
Zhenjie Wu, Weilan Wang, Hongrui Li
doaj   +1 more source

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz, Alejandra Curbelo‐Paz, Sonia Morales, Elizabeth Contreras, Amy Houtrow, Scott H. Maurer, Judy C. Chang   +6 more
wiley   +1 more source

HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images

Mathematics
Table detection in document images is a challenging problem due to diverse layouts, irregular structures, and embedded graphical elements. In this study, we present HTTD (Hierarchical Transformer for Table Detection), a cutting-edge model that combines a
Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Hyun-Soo Kang   +5 more
doaj   +1 more source

Analysis of Hyperspectral Data to Develop an Approach for Document Images

Sensors, 2023
Hyperspectral data analysis is being utilized as an effective and compelling tool for image processing, providing unprecedented levels of information and insights for various applications.
Zainab Zaman, Saad Bin Ahmed, Muhammad Imran Malik   +2 more
doaj   +1 more source

Document image analysis: A primer

Sadhana, 2002
Document image analysis refers to algorithms and techniques that are applied to images of documents to obtain a computer-readable description from pixel data. A well-known document image analysis product is the Optical Character Recognition (OCR) software that recognizes characters in a scanned document.
Rangachar Kasturi, Lawrence O’Gorman, Venu Govindaraju   +2 more
openaire   +2 more sources

Parents of Youth With Cancer Report on Their Psychosocial Care: iSTEPPP Survey Finds Alignment and Gaps With Standards

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families guide the provision of comprehensive psychosocial care. Parallel to research characterizing implementation of the Standards from the perspective of providers, this study examines implementation of the Standards from the perspective of parents of youth ...
Emily M. Pariseau, Kimberly Buff, Michele A. Scialla, Kimberly S. Canter, Lori Wiener, Victoria Sardi‐Brown, Julia B. Tager, Kamyar Arasteh, Anne E. Kazak   +8 more
wiley   +1 more source

Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia

Journal of Imaging, 2018
This paper presents a comprehensive test of the principal tasks in document image analysis (DIA), starting with binarization, text line segmentation, and isolated character/glyph recognition, and continuing on to word recognition and transliteration for ...
Made Windu Antara Kesiman, Dona Valy, Jean-Christophe Burie, Erick Paulus, Mira Suryani, Setiawan Hadi, Michel Verleysen, Sophea Chhun, Jean-Marc Ogier   +8 more
doaj   +1 more source

Chemotherapy for Spinal Cord Intramedullary Pediatric Low‐Grade Glioma—A Systematic Literature Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko, Segev Gabay, Jonathan Roth, Amit Ringel, Rina Dvir, Shlomi Constantini   +5 more
wiley   +1 more source

Evaluation of GIST operator for document image retrieval

, 2018
As digitised documents normally contain a large variety of structures, a page segmentation- and layout-free method for document image retrieval is preferable.
Alaei, A, Pal, Umapada, Alaei, Fahimeh, Pal, U, Alaei, F, Alaei, Alireza, Blumenstein, Michael, Blumenstein, M   +7 more
core   +1 more source

Efficient document image binarization using heterogeneous computing and parameter tuning [PDF]

, 2018
In the context of historical document analysis, image binarization is a first important step, which separates foreground from background, despite common image degradations, such as faded ink, stains, or bleed-through.
Lavesson, Niklas, Håkan Grahn, Florian Westphal, Niklas Lavesson, Westphal, Florian, Grahn, Håkan, Grahn, Håkan,, Westphal, Florian,, Lavesson, Niklas,   +8 more
core   +1 more source