Dang Thuy Hien Nguyen

ORCID: 0009-0007-9960-3096
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About
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Research Areas
  • AI in cancer detection
  • Natural Antidiabetic Agents Studies
  • Neuroscience and Neuropharmacology Research
  • Image Retrieval and Classification Techniques
  • Pharmacological Effects and Toxicity Studies
  • Digital Media Forensic Detection
  • Advanced Glycation End Products research
  • Tea Polyphenols and Effects
  • Medicinal Plants and Neuroprotection
  • Gene expression and cancer classification
  • Medical Image Segmentation Techniques

Ho Chi Minh City Medicine and Pharmacy University
2024

Hanoi University of Science and Technology
2013

Diabetes has always been a matter of concern to health experts as well the community due increasing number patients with diabetes and severe consequences it may cause. Many attempts have made discover new treatment options for diabetes, herbal medicines are currently considered great potential. This study was conducted evaluate effect Camellia flava flower extract on degeneration islets Langerhans insulin resistance in an alloxan-induced hyperglycemia model Swiss albino mice. Hyperglycemic...

10.3897/pharmacia.71.e126255 article EN cc-by Pharmacia 2024-07-23

A new false positive reduction approach in computer-aided mammographic mass detection has been proposed this paper. The goal is to discriminate true recognized masses from the normal parenchyma ones. To describe masses, Block Difference Inverse Probability (BDIP) features are utilized. Once descriptors extracted, we use Support Vector Machine (SVM) classify detected masses. Evaluation on about 2700 suspicious regions Mini-MIAS database gives discrimination result of 0.91. It indicates that...

10.1109/bmei.2013.6746901 article EN 2013-12-01
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