Results 31 to 40 of about 4,039,022 (264)

An Improved Extrapolation Scheme for Truncated CT Data Using 2D Fourier-Based Helgason-Ludwig Consistency Conditions

open access: yesInternational Journal of Biomedical Imaging, 2017
We improve data extrapolation for truncated computed tomography (CT) projections by using Helgason-Ludwig (HL) consistency conditions that mathematically describe the overlap of information between projections. First, we theoretically derive a 2D Fourier
Yan Xia   +5 more
doaj   +1 more source

Rapid Interactive and Intuitive Segmentation of 3D Medical Images Using Radial Basis Function Interpolation

open access: yesJournal of Imaging, 2017
Segmentation is one of the most important parts of medical image analysis. Manual segmentation is very cumbersome, time-consuming, and prone to inter-observer variability. Fully automatic segmentation approaches require a large amount of labeled training
Tanja Kurzendorfer   +6 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

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

Recent advances in graph-based pattern recognition with applications in document analysis

open access: yes, 2011
Emeriti, Faculty of ScienceInstitute of Computer ScienceInstitute of Computer Science, Pattern Recognition Group ...
Bunke, Horst, Riesen, Kaspar
core   +1 more source

Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings

open access: yesHuman-Centric Intelligent Systems
Understanding and recognizing emotional states through speech has vast implications in areas ranging from customer service to mental health. In this paper, we investigate the relationship between adults and children for the task of automatic speech ...
Elina Lesyk   +5 more
doaj   +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

Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes

open access: yes, 2017
Institute of Computer ScienceInstitute of Computer Science, Pattern Recognition Group ...
Uchida, Seiichi   +3 more
core   +1 more source

Pattern recognition systems under attack [PDF]

open access: yes, 2013
Pattern recognition systems have been increasingly used in security applications, although it is known that carefully crafted attacks can compromise their security.
Battista Biggio   +5 more
core   +1 more source

Generating Alzheimer’s narratives using large language models

open access: yesBMC Medical Informatics and Decision Making
Background Analyzing semi-spontaneous speech is a promising direction for supporting Alzheimer’s disease (AD) assessment, yet progress is limited by the scarcity of annotated clinical data. Large Language Models (LLMs) offer new opportunities to generate
Paula Andrea Perez-Toro   +4 more
doaj   +1 more source

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