文章基本信息

标题：Image Processing in Synthesis and Optimization of Active Vaccinal Components
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作者：Oana-Constantina Margin ; Eva-H. Dulf ; Teodora Mocan 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：15
页码：209-214
DOI：10.1016/j.ifacol.2021.10.257
语种：English
出版社：Elsevier
摘要：AbstractWorldwide, cancer is the second cause of death after heart diseases, being accountable for 10 million deaths per year. This study addresses adenocarcinoma, the main subject to multiple anticancer treatments, that are currently developing in medicine and pharmacy study trials. A new research for a therapeutic vaccine involves the study of gold nanoparticles impacting the immune response for annihilating cancer cells. The model is proposed to be implemented using Quantitative-Structure Activity Relationship (QSAR) techniques, specifically artificial neural networks in relation with fuzzy rules to combine the benefits of human perception with the automatic characteristic of neural nets. The inputs to the resulted ANFIS model are molecular features that must be selected for optimization, using antlion optimization algorithm, inspired recently from natural behaviors, the same way once ANNs were developed. A couple of molecular features are extracted and computed from hyperspectral images through image processing approaches like morphological transformations and watershed segmentation.
关键词：KeywordsQSARALOANFISwatershed segmentationvaccinecancerimage processing