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Intelligent Deep Learning Based Disease Diagnosis Using Biomedical Tongue Images

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Computers, Materials & Continua 2022年第3期70卷 5667-5681页

作者： V.Thanikachalam S.Shanthi K.Kalirajan Sayed Abdel-Khalek mohamed omri Lotfi M.Ladhar Sri Sivasubramaniya Nadar College of Engineering Chennai603110India Department of Information Technology Department of Electronics and Communication EngineeringCARE College of EngineeringTiruchirappalli620009India Department of Electronics and Communication Engineering KPR Institute of Engineering and TechnologyCoimbatore641407India Department of Mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Mathematics Department Faculty of ScienceSohag UniversitySohagEgypt Deanship of Scientific Research King Abdulaziz UniversityJeddahSaudi Arabia Department of Electrical and Computer Engineering Faculty of EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia

The rapid development of biomedical imaging modalities led to its wide application in disease ***-based diagnostic procedures are proficient and non-invasive in nature to carry out secondary diagnostic processes ***,physicians examine the characteristics of tongue prior to *** this scenario,to get rid of qualitative aspects,tongue images can be quantitatively inspected for which a new disease diagnosis model is *** model can reduce the physical harm made to the *** tongue image analytical methodologies have been proposed ***,there is a need exists to design an intelligent Deep Learning(DL)based disease diagnosis *** this motivation,the current research article designs an Intelligent DL-basedDisease Diagnosis method using Biomedical Tongue Images called IDLDD-BTI *** proposed IDLDD-BTI model incorporates Fuzzy-based Adaptive Median Filtering(FADM)technique for noise removal ***,SqueezeNet model is employed as a feature extractor in which the hyperparameters of SqueezeNet are tuned using Oppositional Glowworm Swarm Optimization(OGSO)*** last,Weighted Extreme Learning Machine(WELM)classifier is applied to allocate proper class labels for input tongue color *** design of OGSO algorithm for SqueezeNet model shows the novelty of the *** assess the enhanced diagnostic performance of the presented IDLDD-BTI technique,a series of simulations was conducted on benchmark dataset and the results were examined in terms of several *** resultant experimental values highlighted the supremacy of IDLDD-BTI model over other state-of-the-art methods.

关键词： Biomedical images image processing tongue color image deep learning squeezenet disease diagnosis

Antioxidant and antimicrobial activities of Padina pavonica and Enteromorpha sp. from the Tunisian Mediterranean coast

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Journal of Coastal Life Medicine 2017年第8期5卷 336-342页

作者： Malek Besbes Hlila Amel omri Hichri mohamed Ali Mahjoub Zine Mighri Maha Mastouri Laboratory of Transmissible Diseases and Biological Active Substances Faculty of PharmacyAvenue Avicenne5000MonastirUniversity of MonastirMonastirTunisia Laboratory of Heterocyclic Chemistry Natural Products and ReactivityTeam:Medicinal Chemistry and Natural ProductsFaculty of Sciences ofMonastirUniversity of MonastirMonastirTunisia

Objective: To examine the antioxidant and the antimicrobial activities of the marine seaweeds Padina pavonica (P. pavonica) and Enteromorpha sp. from the Tunisian Mediterranean coast. Methods: The acetone and water were used for algae extraction to envisage the antimicrobial activity versus Gram-negative (Escherichia coli and Pseudomonas aeruginosa), Gram-positive bacteria (Staphylococcus aureus and Enterococcus faecalis) and against four Candida. The microdilution method was used to evaluate this activity. In vitro, total phenolic content and the antioxidant activity including 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging and 2,2'-azino-bis-(3-ethylbenthiazoline)-6-sulfonic acid (ABTS) were also studied. Results: The highest amount of phenolic compound was found in the P. pavonica acetonic extract ((90.61 ± 0.11) mg catechin equivalent/g extract)This brown algae sample demonstrated greater DPPH and ABTS radical scavenging ability potential in comparison to other green seaweed, Enteromorpha sp. The maximum antimicrobial activity was shown by the P. pavonica acetonic extract against all the pathogenic strains tested (minimum inhibitory concentrations = minimum inhibitory bactericidal = minimum inhibitory fungicidal concentrations = 0.04 mg/mL). Those activities might be due to phenolic substances present in this fraction. Conclusions: The present results highlight the possible use of P. pavonica as source of antioxidant and antimicrobial compounds.

关键词： Padina pavonica Enteromorpha sp. Antioxidant Antimicrobial

Chemical Composition of Bergamot （Citrus Bergamia Risso） Essential Oil Obtained by Hydrodistillation

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Journal of Chemistry and Chemical Engineering 2010年第4期4卷 60-62页

作者： Bouzouita Nabiha EI omri Abdelfatteh Kachouri Faten Casabianca Hervé Chaabouni mohamed Moncet Higher Institute of Food Industries of Tunis 58 Avenue Alain Savary Tunis 1003 Tunisia National Centre of the Scientifie Research Echangeur de solaize I＇ernaison B .P. 22-69390 Franee

Peel essential oil of bergamot （Citrus bergamia Risso） growing in Tunisia was separated by hydrodistillation and obtained in a yield of 9.7%. The oil composition was investigated using GC and GC-MS with two columns HP-I and HP-Innowax. Fifteen compounds accounting for 98.52% of the oil were identified. The oil was characterized by bigb content oflimonene （59.21%）, linalool （9.51%） and linalyl acetate （16.83%）.

关键词： Citrus bergamia Risso bergamot peel oil essential oil composition limonene linalyl acetate

Indium doping effect on properties of ZnO nanoparticles synthesized by sol–gel method

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Chinese Physics B 2019年第4期28卷 342-348页

作者： S Mourad J El Ghoul K omri K Khirouni Laboratory of Physics of Materials and Nanomaterials Applied at Environment (LaPhyMNE) Faculty of Sciences in Gabes Gabes University Imam Mohammad Ibn Saud Islamic University (IMSIU) College of Sciences Department of Physics

Pure ZnO and indium-doped ZnO(In–ZO) nanoparticles with concentrations of In ranging from 0 to 5% are synthesized by a sol–gel processing technique. The structural and optical properties of ZnO and In–ZO nanoparticles are characterized by different techniques. The structural study confirms the presence of hexagonal wurtzite phase and indicates the incorporation of In^(3+) ions at the Zn^(2+) sites. However, the optical study shows a high absorption in the UV range and an important reflectance in the visible range. The optical band gap of In–ZnO sample varies between 3.16 e V and 3.22 e V. The photoluminescence(PL) analysis reveals that two emission peaks appear: one is located at 381 nm corresponding to the near-band-edge(NBE) and the other is observed in the green region. The aim of this work is to study the effect of indium doping on the structural, morphological, and optical properties of ZnO nanoparticles.

关键词： In-doped ZnO nanoparticles sol–gel process structural and optical characterization