نتایج جستجو برای: curve expert

تعداد نتایج: 201647  

2006
Rishab Ghosh Luc Soete

Like “golden weddings”, there are also “golden papers”: seminal papers which appear to be characterized by their uniqueness in having raised issues which fifty years after they have been written look as relevant as they probably did fifty years ago. Paul David (2003) in reviewing Zvi Griliches contributions to the economics profession, noticed with typical shrewd insight how the numbers of cita...

Journal: :Journal of the American Medical Informatics Association : JAMIA 2014
Quang Nguyen Hamed Valizadegan Milos Hauskrecht

OBJECTIVE Learning of classification models in medicine often relies on data labeled by a human expert. Since labeling of clinical data may be time-consuming, finding ways of alleviating the labeling costs is critical for our ability to automatically learn such models. In this paper we propose a new machine learning approach that is able to learn improved binary classification models more effic...

Journal: :JCO Global Oncology 2020

2016
Joshua L. Warren Jean-Claude Mwanza Angelo P. Tanna Donald L. Budenz

PURPOSE We developed a statistical model to improve the detection of glaucomatous visual field (VF) progression as defined by the consensus of expert clinicians. METHODS We developed new methodology in the Bayesian setting to properly model the progression status of a patient (as determined by a group of expert clinicians) as a function of changes in spatially correlated sensitivities at each...

2014
Laura G. Merckel Helena M. Verkooijen Nicky H. G. M. Peters Ritse M. Mann Wouter B. Veldhuis Remmert K. Storm Teun Weits Katya M. Duvivier Thijs van Dalen Willem P. Th. M. Mali Petra H. M. Peeters Maurice A. A. J. van den Bosch

OBJECTIVE To investigate the added diagnostic value of 3.0 Tesla breast MRI over conventional breast imaging in the diagnosis of in situ and invasive breast cancer and to explore the role of routine versus expert reading. MATERIALS AND METHODS We evaluated MRI scans of patients with nonpalpable BI-RADS 3-5 lesions who underwent dynamic contrast-enhanced 3.0 Tesla breast MRI. Initially, MRI sc...

Journal: :Physical therapy 2006
Kerstin M Palombaro Rebecca L Craik Kathleen K Mangione James D Tomlinson

BACKGROUND AND PURPOSE Older subjects after hip fracture walk more slowly than age-matched peers. The extent to which they walk more slowly is difficult to define because the standard error of the measure (SEM), sensitivity to change, and clinically important change have not been reported for gait speed. The purposes of this study were to quantify the SEM for habitual and fast gait speeds among...

2011
Thomas Lyons

section for charge exchange obtained from our data and compare it with the prediction using the forward dispersion relationships to calculate the real part and the optical theorem to calculate the imaginary part of the forward scattering amplitude. Ne used the most recent evaluation of the dispersion relation, ' based upon new Saclay measurements that have been published by Amblard et al. ,"to ...

Journal: :Journal of research in veterinary medicine 2021

This study was aimed to obtain the growth curve of body weight in male layer chickens (Lohman MB 202) based on Logistic and Gompertz models. The frequently data from one day age adult were used for prediction. Total thousand birds private sector poultry farm Tasikmalaya Regency, Indonesia this as source. estimation calculated (L) (G) models using Curve Expert 1.4. computer program.The final (as...

A Safari, A Zamani, B Pourabbas H Parsaei,

Background: Scoliosis is the most common type of spinal deformity. A universal and standard method for evaluating scoliosis is Cobb angle measurement, but several studies have shown that there is intra- and inter- observer variation in measuring cobb angle manually.Objective: Develop a computer- assisted system to decrease operator-dependent errors in Cobb angle measurement.Methods: The spinal ...

Journal: :Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2010
Barbara André Tom Vercauteren Anna M. Buchner Muhammad Waseem Shahid Michael B. Wallace Nicholas Ayache

Learning medical image interpretation is an evolutive process that requires modular training systems, from non-expert to expert users. Our study aims at developing such a system for endomicroscopy diagnosis. It uses a difficulty predictor to try and shorten the physician learning curve. As the understanding of video diagnosis is driven by visual similarities, we propose a content-based video re...

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