A Review of Pharmaceutical Robot based on Hyperspectral Technology

Su, Xuesan; Wang, Yaonan; Mao, Jianxu; Chen, Yurong; Yin, Ating; Zhao, Bingrui; Zhang, Hui; Liu, Min

doi:10.1007/s10846-022-01602-7

Cited by 15 publications

(5 citation statements)

References 145 publications

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“…In general, all the investigations presented in the preceding paragraphs relate to a very narrow range of products. However, as we have said, the issue of counterfeiting has acquired such a magnitude that it already covers very diverse topics (Islam et al, 2021) especially technological fields (Jha, 2023; Su et al, 2022) that help to identify fraudulent websites (Gopal et al, 2022) or to make moral‐theological analysis of unethical business practices (Uroko, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

A world of counterfeits: Knowledge to decide

Marín‐Palacios,

Botey‐Fullat,

Márquez

2024

J of Consumer Behaviour

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Counterfeiting has become a major social problem because of the consequences for consumers, businesses and governments. The objective is to describe the current state of counterfeiting research, define the main thematic areas, identify gaps and highlight key findings. A bibliometric analysis of the growing number of publications addressing the counterfeiting problem in the existing literature is conducted. The articles are taken from a search of the Scopus database. After excluding some scientific‐technological subareas, 1984 papers are analyzed, to which 23 outstanding papers were added at a later stage. In more recent years, most of the articles focus on the development of technologies. Four conceptual areas have been identified: technological development, social behavior, economic aspects and legal aspects. The latter two are the least studied. Also identified in the social area are two topics of interest that have been little addressed, namely, the effect of prior purchase experience and the development of theories describing consumer behavior towards counterfeits. The value derived from this research is the identification of new lines of research with the economic and legal area, it would be of interest to initiate a research program that studies what proportion of counterfeits are sanctioned, to which interest group the sanction is directed and if the sanction is proportional to the damage caused to society and the company. In addition, with regard to the study of counterfeit consumer behaviour, its development can provide information to guide the definition of public awareness strategies and help to adapt companies' marketing campaigns.

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Section: Literature Reviewmentioning

confidence: 99%

A world of counterfeits: Knowledge to decide

Marín‐Palacios,

Botey‐Fullat,

Márquez

2024

J of Consumer Behaviour

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“…In [147], the authors suggest employingHSI technology for pharmaceutical visual inspection to improve quality control. Traditional RGB sensor-based methods have limitations.…”

Section: Healthcare Pharmaceuticals and Medical Imagingmentioning

confidence: 99%

Hyperspectral Imaging Algorithms and Applications: A Review

Akewar,

Chandak

2023

Preprint

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<p>The paper covers topics ranging from hyperspectral imaging applications to innovative algorithms that have enhanced the analysis of hyperspectral data. We delve into the practical applications, including Agriculture, Food Quality and Safety, Earth Sciences, Exploration and Monitoring, Healthcare, Pharmaceuticals, Medical Imaging, Industrial Manufacturing, Management, Conservation, Safety and Security. Our goal is to provide a holistic understanding of how hyperspectral imaging is transforming these fields and driving new possibilities. We also discussed detailed algorithmic development in Hyperspectral Imaging including Supervised and Unsupervised algorithms. We reviewed algorithmic development from the early 1980’s to recent developments including Artificial Intelligence involving algorithms from Machine Learning to Deep Learning. We believe our paper will be of particular interest to your readers for those who wish to study algorithm development from simple image processing procedures to AI based approaches and how these algorithms are used in diverse applications to make intelligent decisions for increasing productivity and efficiency in Agriculture, Exploration and Management and identification of diseases and natural resources. Our paper is well organized into various sections as per algorithms and applications. We reviewed more than 250 papers with proper citations and authors' research work.</p>

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“…HS cameras acquire information from a wide portion of the electromagnetic spectrum, allowing the differentiation of different materials in the capture. In particular, it has been proven to be effective in agriculture [25,26], archaeology [24,6], pharmaceutical industry [44], quality control in food chains [23,22], among other areas. In the field of medicine, it has experienced a substantial growth in recent years [27], especially for the tumor delimitation [51,15].…”

Section: Introductionmentioning

confidence: 99%

LIBRA: Low spectral resolution brain tumor classifier for medical hyperspectral imaging

Villa,

Martín-Perez,

Vazquez

et al. 2024

Preprint

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Gliomas constitute a significant challenge in neurosurgery due to their high incidence and poor prognosis. Despite advancements in tumor detection techniques using machine learning approach with hyperspectral imaging, accurately distinguishing between healthy and tumoral tissues remains challenging. Following this trend, this paper introduces Libra, a low spectral resolution classifier designed for brain tumor detection, leveraging ensemble learning techniques to enhance classification performance. Evaluated across the Helicoid and Slim Brain databases, Libra demonstrates superior tumor sensitivity and a notable increase in accuracy compared to standalone SVM and the state-of-the-art Helicoid classification chain. While facing challenges in accurately distinguishing between blood vessels and tumoral tissues, Libra performs 32 % better than Helicoid in tumor sensitivity and 25.1 % in tumor F1-score. Moreover, when using unseen data, Libra demonstrates notable improvements of 7.8 % and 6.9 % respectively. These improvements are obtained using low complexity algorithms exploiting ensemble learning techniques.

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A Review of Pharmaceutical Robot based on Hyperspectral Technology

Cited by 15 publications

References 145 publications

A world of counterfeits: Knowledge to decide

A world of counterfeits: Knowledge to decide

Hyperspectral Imaging Algorithms and Applications: A Review

LIBRA: Low spectral resolution brain tumor classifier for medical hyperspectral imaging

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