Results 41 to 50 of about 1,196,582 (339)
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval
, 2015 This paper presents a new state-of-the-art for document image classification and retrieval, using features learned by deep convolutional neural networks (CNNs).
Derpanis, Konstantinos G. +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source
Robust Arabic and Pashto Text Detection in Camera-Captured Documents Using Deep Learning Techniques
IEEE Access, 2023 In the realm of Document Image Analysis (DIA), the primary objective is to transform image data into a format that can be readily interpreted by machines.
Nisar Khan +7 more
doaj +1 more source
Image analysis in technical documentation [PDF]
, 2019 In the era of Big Data, manufacturing companies are overwhelmed by a lot of disorganized information: the large amount of digital content that is increasingly available in the manufacturing process makes the retrieval of accurate information a critical issue.
Carrara F, Debole F, Gennaro C, Amato G
openaire +2 more sources
Document Image Analysis for World War II Personal Records [PDF]
, 2004 Complete collections of invaluable documents of unique historical and political significance are decaying and at the same time they are virtually inaccessible, necessitating the invention of robust and efficient methods for their conversion into a ...
Antonacopoulos, Apostolos +1 more
core
Skew detection and correction of mushaf Al-Quran script using hough transform [PDF]
, 2018 Document skew detection and correction is mainly one of base preprocessing steps in the document analysis. Correction of the skewed scanned images is critical because it has a direct impact on image quality.
Al-Mhiqani, Mohammed Nasser +4 more
core +1 more source
Clinical Insights Into Hypercalcemia of Malignancy in Childhood
Pediatric Blood &Cancer, EarlyView.ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley +1 more source
Document Analysis And Classification Based On Passing Window [PDF]
Journal of Advances in Computer Engineering and Technology, 2020 In this paper we present Document analysis and classification system to segment and classify contents of Arabic document images. This system includes preprocessing, document segmentation, feature extraction and document classification.
ZAHER BAMASOOD
doaj
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis
, 2019 Automatic analysis of scanned historical documents comprises a wide range of image analysis tasks, which are often challenging for machine learning due to a lack of human-annotated learning samples.
Alberti, Michele +7 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 more
wiley +1 more source