Results 31 to 40 of about 36,291,018 (255)

Document Image Binarization Using Recurrent Neural Networks

open access: yes, 2018
In the context of document image analysis, image binarization is an important preprocessing step for other document analysis algorithms, but also relevant on its own by improving the readability of images of historical documents.
Lavesson, Niklas   +8 more
core   +1 more source

Deep learning for terahertz image denoising in nondestructive historical document analysis

open access: yesScientific Reports, 2022
Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta   +11 more
doaj   +1 more source

Historical Document Synthesis with Generative Adversarial Networks

open access: yes, 2019
This work tackles a particular image-to-image translation problem, where the goal is to transform an image from a source domain (modern printed electronic document) to a target domain (historical handwritten document). The main motivation of this task is
Pondenkandath, Vinaychandran,   +9 more
core   +1 more source

An innovative document image binarization approach driven by the non-local p-Laplacian

open access: yesEURASIP Journal on Advances in Signal Processing, 2022
Text image binarization is fairly a tedious task and a significant problem in document image analysis. This process, as a necessary pretreatment for noisy images with stains, non-uniform background, or degraded text characters, can successfully improve ...
Fatim Zahra Ait Bella   +3 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Semantic Document Image Classification Based on Valuable Text Pattern [PDF]

open access: yesJournal of Intelligent Procedures in Electrical Technology, 2011
Knowledge extraction from detected document image is a complex problem in the field of information technology. This problem becomes more intricate when we know, a negligible percentage of the detected document images are valuable.
Hossein Pourghassem   +2 more
doaj  

FPGA-based point processing for denoising of the show-through effect in scanned document images

open access: yesJournal of King Saud University: Computer and Information Sciences, 2023
Document Image Binarization is one of the image enhancement techniques and has potential applications in the field of Document Image Analysis and Recognition (DIAR).
Habibunnisha Nazeer, Nedumaran Damodaran
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan   +18 more
wiley   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider   +15 more
wiley   +1 more source

Document image segmentation and quality improvement by moir� pattern analysis [PDF]

open access: yes, 2009
[[abstract]]Moir patterns are distortions on the results of scanning printed documents. However, the patterns can be utilized in document image segmentation and quality improvement.
J. C. Y. Yang;W. H. Tsai   +1 more
core  

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