Results 31 to 40 of about 36,291,018 (255)
Document Image Binarization Using Recurrent Neural Networks
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step for other document analysis algorithms, but also relevant on its own by improving the readability of images of historical documents.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Deep learning for terahertz image denoising in nondestructive historical document analysis
Historical documents contain essential information about the past, including places, people, or events.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Historical Document Synthesis with Generative Adversarial Networks
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
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
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]
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
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
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
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]
[[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

