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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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High-quality semi-supervised anomaly detection with generative adversarial networks.

Yuki Sato1, Junya Sato2,3, Noriyuki Tomiyama3

  • 1Systems and Information Engineering Master's Program in Computer Science, University of Tsukuba, 1-1-1 Tenoudai, Tsukuba City, Ibaraki, 305-0821, Japan. s2220599@u.tsukuba.ac.jp.

International Journal of Computer Assisted Radiology and Surgery
|November 9, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces High-Quality Anomaly GAN (HQ-AnoGAN), a novel method for anomaly detection. HQ-AnoGAN achieves high accuracy in detecting anomalies and provides clear visualizations, particularly beneficial for medical imaging analysis.

Failed At:

2026-06-19T13:40:28.674559+00:00

Keywords:
Anomaly detectionChest x-rayGANSemi-supervised learning

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