Results 41 to 50 of about 141,408 (322)
Local feature descriptors based ECG beat classification
Health Information Science and Systems, 2020 ECG beat type analysis is important in the detection of various heart diseases. The ECG beats give useful information about the status of the monitored heart condition. Up to now, various artificial intelligence-based methods have been proposed for ECG based heart failure detection.
Daban Abdulsalam Abdullah +2 more
openaire +3 more sources
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
, 2018 Though deep learning has shown successful performance in classifying the label and severity stage of certain disease, most of them give few evidence on how to make prediction.
Cheng, Tingting +9 more
core +1 more source
SHED: Shannon Entropy Descriptors from Topological Feature Distributions [PDF]
Journal of Chemical Information and Modeling, 2006 AbstractChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
Elisabet, Gregori-Puigjané +1 more
openaire +2 more sources
Transform coding of image feature descriptors [PDF]
SPIE Proceedings, 2009 We investigate transform coding to efficiently store and transmit SIFT and SURF image descriptors. We show that image and feature matching algorithms are robust to significantly compressed features. We achieve nearperfect image matching and retrieval for both SIFT and SURF using ∼2 bits/dimension.
Vijay Chandrasekhar +5 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar +8 more
wiley +1 more source
A Compact and Complete AFMT Invariant with Application to Face Recognition [PDF]
, 2005 In this paper, we present a complete set of hybrid similarity invariants under the Analytical Fourier-Mellin Transform (AFMT) framework, and apply it to invariant face recognition. Because the magnitude and phase spectra are not processed separately,
Bennamoun, Mohammed, Yu, Hongchuan
core
Robust Depth-based Person Re-identification
, 2017 Person re-identification (re-id) aims to match people across non-overlapping camera views. So far the RGB-based appearance is widely used in most existing works. However, when people appeared in extreme illumination or changed clothes, the RGB appearance-
Lai, Jianhuang +2 more
core +1 more source
Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis +9 more
wiley +1 more source
IET Computer Vision, 2019 This study introduces a novel multi‐feature‐based non‐rigid three‐dimensional (3D) model retrieval method. First, for each 3D model, compute the scale‐invariant heat kernel signature (SI‐HKS) descriptor and the wave kernel signature (WKS) descriptor of ...
Hui Zeng +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale +6 more
wiley +1 more source