Results 51 to 60 of about 149,894 (279)
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +1 more source
Stone inscription image segmentation based on Stacked-UNets and GANs
To overcome the challenges posed in effectively extracting stone inscriptions characterized by highly self-similarity between the foreground and background, a character image segmentation framework is proposed that integrates Stacked-UNets and Generative
Pan Zhang, Chao Li, Yuanhua Sun
doaj +1 more source
ANN-based Innovative Segmentation Method for Handwritten text in Assamese [PDF]
Artificial Neural Network (ANN) s has widely been used for recognition of optically scanned character, which partially emulates human thinking in the domain of the Artificial Intelligence.
Bhattacharyya, Kaustubh +1 more
core +1 more source
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
TSER: A Two-Stage Character Segmentation Network With Two-Stream Attention and Edge Refinement
Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separating handwritten ...
Jinyingming Zhang +4 more
doaj +1 more source
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source
End-To-End Deep-Learning-Based Tamil Handwritten Document Recognition and Classification Model
Overview: Handwriting recognition (HR) involves converting handwritten text into machine-readable text. Tamil handwritten document recognition remains a challenging process in various text real-world applications owing to the differences in the sizes ...
C. Vinotheni, S. Lakshmana Pandian
doaj +1 more source
Character Segmentation for Automatic CAPTCHA Solving [PDF]
Many websites utilise CAPTCHA (Completely Automatic Public Turing tests to tell Computers and Humans Apart) schemes as human interaction proofs to grant access to their services only to people rather than spam bots. In this paper, we examine the security of six widely used types of CAPTCHA and present novel attacks against all of them, achieving ...
Christopher Town, Christos Makris
openaire +1 more source
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian +7 more
wiley +1 more source
Dual Long Short-Term Memory Networks for Sub-Character Representation Learning
Characters have commonly been regarded as the minimal processing unit in Natural Language Processing (NLP). But many non-latin languages have hieroglyphic writing systems, involving a big alphabet with thousands or millions of characters.
Feng, Yi +6 more
core +1 more source

