Results 51 to 60 of about 48,121,012 (289)

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

Pediatric 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, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Detecting dense text in natural images

IET Computer Vision, 2020
Most existing text detection methods are mainly motivated by deep learning‐based object detection approaches, which may result in serious overlapping between detected text lines, especially in dense text scenarios.
Dianzhuan Jiang, Shengsheng Zhang, Yaping Huang, Qi Zou, Xingyuan Zhang, Mengyang Pu, Junbo Liu   +6 more
doaj   +1 more source

Object-Guided Remote Sensing Image Scene Classification Based on Joint Use of Deep-Learning Classifier and Detector

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Due to the extremely complex composition of remote sensing scenes, REmote Sensing Image Scene Classification (RESISC) is still a challenging task. To further improve classification accuracy, this article introduces a deep-learning detector into RESISC ...
Xiaoliang Yang, Weidong Yan, Weiping Ni, Xifeng Pu, Han Zhang, Maoyu Zhang   +5 more
doaj   +1 more source

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

Pediatric 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, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Lithuanian population by Sex and Age in 1923 Census Data

, 2022
This dataset contains data on population by sex and age on the basis of the results of the Census Data of Lithuania, which was carried out on 17 September 1923.
Vaskela, Gediminas
core   +1 more source

Characteristic relational patterns [PDF]

, 2010
Nowadays, relational databases have become the de facto standard to store large quantities of data. As the manual analysis of these large quantities of data is practically impossible, the field of data mining provides methods that attempts to ...
Koopman, A.C.M., Algorithmic Data Analysis, Sub Algorithmic Data Analysis beg 1/1/13   +2 more
core   +1 more source

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

Pediatric 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, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source

Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras

Applied Sciences
In this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series in video format using a multimodal approach.
Alejandro Dionis-Ros, Joan Vila-Francés, Rafael Magdalena-Benedito, Fernando Mateo, Antonio J. Serrano-López   +4 more
doaj   +1 more source

Detection and identification of tea leaf diseases based on AX-RetinaNet

Scientific Reports, 2022
The accurate detection and identification of tea leaf diseases are conducive to its precise prevention and control. Convolutional neural network (CNN) can automatically extract the features of diseased tea leaves in the images.
Wenxia Bao, Tao Fan, Gensheng Hu, Dong Liang, Haidong Li   +4 more
doaj   +1 more source

Patterns that matter [PDF]

, 2010
Pattern mining is one of the best-known concepts in Data Mining. A big problem in pattern mining is that humongous amounts of patterns can be mined even from small datasets. This makes it hard for domain experts to discover knowledge using pattern mining,
Algorithmic Data Analysis, van Leeuwen, M., Sub Algorithmic Data Analysis beg 1/1/13   +2 more
core   +1 more source