Identifying the most relevant tablet regions in the image detection of counterfeit medicines

Author:

Puglia Fábio do Prado,Anzanello Michel José,Scharcanski Jacob,Fontes Juliana de Abreu,Gonçalves de Brito João Batista,Ortiz Rafael Scorsatto,Mariotti Kristiane

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Clinical Biochemistry,Spectroscopy,Drug Discovery,Pharmaceutical Science,Analytical Chemistry

Reference37 articles.

1. Report of the situation of counterfeit medicines based on Data Collection Tool;WHO,2007

2. Health and economic consequences of counterfeit drugs;Seiter;Clin. Pharmacol. Ther.,2009

3. Understanding and fighting the medicine counterfeit market;Dégardin;J. Pharm. Biomed. Anal.,2014

4. The global counterfeit drug trade: patient safety and public health risks;Mackey;J. Pharm. Sci.,2011

5. Comparison between counterfeit and authentic medicines: a novel approach using Differential Scanning Calorimetry and Hierarchical Cluster Analysis;Dos Santos;J. Pharm. Biomed. Anal.,2019

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1. Medicine Authentication Based on Image Processing Using Convolutional Neural Networks;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

2. A blockchain based medicine production and distribution framework to prevent medicine counterfeit;Journal of King Saud University - Computer and Information Sciences;2024-01

3. PharmaChain: Blockchain-based drug supply chain provenance verification system;Heliyon;2023-07

4. Image analysis of surface colour of film-coated tablets;Macedonian Pharmaceutical Bulletin;2022-12-31

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