Results 81 to 90 of about 1,261,630 (267)

Re‐Awakening Public Attention to the Silent Pandemic of Cancer Among Older Adults in Low‐ and Middle‐Income Countries

Aging and Cancer, EarlyView.
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef, Sunkanmi Folorunsho, Abdulazeez Opeyemi Abdulganiyu   +2 more
wiley   +1 more source

The need for careful data collection for pattern recognition in digital pathology

Journal of Pathology Informatics, 2017
Effective pattern recognition requires carefully designed ground-truth datasets. In this technical note, we first summarize potential data collection issues in digital pathology and then propose guidelines to build more realistic ground-truth datasets ...
Raphaël Marée
doaj   +1 more source

Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou, Carl D. Langefeld, Padmini Sekar, Mary Comeau, Timothy Howard, Tamara N. Kimball, Chen Bowang, Hyacinth I. Hyacinth, Jonathan Rosand, Christopher D. Anderson, Caspar Grond‐Ginsbach, Daniel Woo, Stacie L. Demel   +12 more
wiley   +1 more source

The inconvenient truth of ground truth errors in automotive datasets and DNN-based detection

Data-Centric Engineering
Assisted and automated driving functions will rely on machine learning algorithms, given their ability to cope with real-world variations, e.g. vehicles of different shapes, positions, colors, and so forth.
Pak Hung Chan, Boda Li, Gabriele Baris, Qasim Sadiq, Valentina Donzella   +4 more
doaj   +1 more source

Visual-Quality-Driven Learning for Underwater Vision Enhancement

, 2018
The image processing community has witnessed remarkable advances in enhancing and restoring images. Nevertheless, restoring the visual quality of underwater images remains a great challenge.
Amaral, Henrique Grandinetti Barbosa, Barbosa, Walysson Vital, Nascimento, Erickson Rangel, Rocha, Thiago Lages   +3 more
core   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 more
wiley   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Learning Two-layer Neural Networks with Symmetric Inputs

, 2019
We give a new algorithm for learning a two-layer neural network under a general class of input distributions. Assuming there is a ground-truth two-layer network $$ y = A \sigma(Wx) + \xi, $$ where $A,W$ are weight matrices, $\xi$ represents noise, and ...
Ge, Rong, Kuditipudi, Rohith, Li, Zhize, Wang, Xiang   +3 more
core  

Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey, Vineet Reddy, Ammar A. Rashied, Nigel P. Pedersen, Robert T. Krafty   +4 more
wiley   +1 more source