Results 271 to 280 of about 324,009 (309)

Investigation of a deep learning-based reconstruction approach utilizing dual-view projection for myocardial perfusion SPECT imaging. [PDF]

Am J Nucl Med Mol Imaging
Liu H, Zhang Y, Lyu Z, Cheng L, Gao L, Wu J, Liu Y.   +6 more
europepmc   +1 more source

MWG-UNet++: Hybrid Transformer U-Net Model for Brain Tumor Segmentation in MRI Scans. [PDF]

Bioengineering (Basel)
Lyu Y, Tian X.
europepmc   +1 more source

The role of deep learning in diagnostic imaging of spondyloarthropathies: a systematic review. [PDF]

Eur Radiol
Omar M, Watad A, McGonagle D, Soffer S, Glicksberg BS, Nadkarni GN, Klang E.   +6 more
europepmc   +1 more source

Machine Learning and Deep Learning Models for Early Sepsis Prediction: A Scoping Review. [PDF]

Indian J Crit Care Med
Shanmugam H, Airen L, Rawat S.
europepmc   +1 more source

Estimating the worst-case scenario for malaria parasite rate in sub-Saharan Africa

Chakradeo K, Katsiferis A, Scheidwasser N, Hawryluk I, Battle KE, Mishra S, Smith DL, Flaxman S, Duchene D, Bhatt S.   +9 more
europepmc   +1 more source

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Predicting the severity and exploitability of vulnerability reports using convolutional neural nets

EnCyCriS@ICSE, 2022
Common Vulnerability and Exposure (CVE) reports published by Vulnerability Management Systems (VMSs) are used to evaluate the severity and exploitability of software vulnerabilities.
A. Okutan, Mehdi Mirakhorli
semanticscholar   +1 more source

Use of Convolutional Neural Nets and Transfer Learning for Prediction of Surgical Site Infection from Color Images

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021
One of the greatest concerns in post-operative care is the infection of the surgical wound. Such infections are a particular concern in global health and low-resource areas, where microbial antibiotic resistance is often common.
R. Fletcher, Gabriel Schneider, B. Hedt-Gauthier, T. Nkurunziza, B. Alayande, R. Riviello, F. Kateera   +6 more
semanticscholar   +1 more source

Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets

IEEE International Joint Conference on Neural Network, 2021
Polandball comics are hand-drawn satirical content that portray personified countries in a unique style. Although certain parts of these comics, such as ball outlines, are easy to draw, some country flags are complex and require time, effort, and skill ...
Simon Arvidsson, Patrick Gabrielsson, U. Johansson   +2 more
semanticscholar   +1 more source

KNOWLEDGE TRANSFER IN DEEP CONVOLUTIONAL NEURAL NETS

International Journal on Artificial Intelligence Tools, 2008
Knowledge transfer is widely held to be a primary mechanism that enables humans to quickly learn new complex concepts when given only small training sets. In this paper, we apply knowledge transfer to deep convolutional neural nets, which we argue are particularly well suited for knowledge transfer. Our initial results demonstrate that components of a
Steven Gutstein, Eric Freudenthal, Olac Fuentes   +2 more
openaire   +2 more sources