Results 61 to 70 of about 35,378,370 (305)
Ewing Sarcoma in Infants and Children Under 2 Years of Age: A French Retrospective Study
ABSTRACT Ewing sarcoma, the second most common primary bone cancer in children, requires intensive treatment that may lead to significant long‐term sequelae, particularly in infants. We retrospectively analyzed data from 1621 French patients treated between 1988 and 2015 within the EW88/93/97 or EE99 trials, focusing on 17 infants diagnosed before 24 ...
Elodie Verdier +18 more
wiley +1 more source
HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images
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 +5 more
doaj +1 more source
Document image analysis: What is missing? [PDF]
The conversion of documents into electronic form has proved more difficult than anticipated. Document image analysis still accounts for only a small fraction of the rapidly-expanding document imaging market. Nevertheless, the optimism manifested over the last thirty years has not dissipated.
openaire +2 more sources
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak +5 more
wiley +1 more source
Deformable Shape Priors in Chan-Vese Segmentation of Image Sequences
In this paper we propose a new method for variational segmentation of image sequences containing nonrigid, moving objects. The method is based on the Chan-Vese model augmented with a novel frame-to-frame interaction term, which allow us to update the ...
Niels Chr. Overgaard +8 more
core +1 more source
YOLOv10-CBRC: A high-precision document image layout analysis model
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
Analysis of Hyperspectral Data to Develop an Approach for Document Images
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 +2 more
doaj +1 more source
Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change
ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega +10 more
wiley +1 more source
JAVANESE CHARACTERS IMAGE SEGMENTATION FROM DOCUMENT IMAGE OF HAMONG TANI
Script image segmentation of a document image is the most decisive step to the success of the process of transliteration of the script image into another script, such as automatically transliterating a printed Javanese manuscript image into a Latin ...
Widiarti, Anastasia Rita +1 more
core +1 more source
In this paper, a keyword detection scheme is proposed based on deep convolutional neural networks for personal information protection in document images. The proposed scheme is composed of key character detection and lexicon analysis.
Guo-Shiang Lin +2 more
doaj +1 more source

