8 articles for “lung real”

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Research ArticleOpen accessIn the abstractRefining Chest X-ray Interpretation with Deep Transfer Learning TechniquesR. Sriramkumar, K. Selvakumar, J. JeganChest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer learning techniques, this study seeks to improve the accuracy of Chest X-ray interpretations. More accurate and effective analysis can be accomplished with the growing potential of artificial intelligence (AI) in medical imaging, especially through … …Journal of Computer Science, Vol. 21, Issue 10 · 27 Nov 2025 · 2,644 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAssociation Between Cancer Screening Results Using Single Nucleotide Polymorphism and Cancer Incidence Rate in Korean WomenKyung Bae Lee, Jae Kyung KimIn this study, we investigated the usefulness of Single Nucleotide Polymorphism (SNP) testing in assessing cancer susceptibility in women by evaluating correlations between SNP testing results and cancer incidence rates. SNP testing was conducted on blood samples of women who underwent health examinations commissioned by medical institutions in the Republic of Korea in 2017 using real-time polymerase chain reaction with … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 3 · 25 Sep 2023 · 4,956 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEnhanced Support Vector Machine based on Metaheuristic Search for Multiclass ProblemsAbdullah Saeed Ghareb, Mohammed Hamid Afif, Abdel-Rahman Hedar et al.Machine learning is an important field of artificial intelligent researches and it highly growing for real intelligent applications systems that relate brain computer interface to human brain activities. Support Vector Machine (SVM) is a popular machine learning approach, which can be used for pattern recognition, prediction and classification with many diverse applications. However, the SVM has many parameters, which have … …Journal of Computer Science, Vol. 16, Issue 7 · 9 Jul 2020 · 6,906 accessesView PDF Cite

Research ArticleOpen accessIn the abstractClassification of Normal and Abnormal Lung CT-scan Images Using Cellular Learning AutomataNooshin Hadavi, Md Jan Nordin, Ali Shojaeipour, Mohammad Faidzul NasrudinThis paper proposes a medical pattern recognition system based on the Cellular automata (CA). CA or cellular machine is a dynamic mathematical model that consists of several similar and simple units organized by considerably simple local rules. Each cell acts as a simple computer automaton. This can lead to the implementation of the complex computations through uncomplicated methods. However, the … …Journal of Computer Science, Vol. 16, Issue 1 · 15 Jan 2020 · 7,834 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEvaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer DataNorah Saleh AlghamdiMachine Learning (ML) can potentially enhance predictions in real-life domains. This study presents an evaluation and comparison of different ML methods which can be applied on thyroid cancer dataset, called Prostate, Lung, Colorectal and Ovarian (PLCO), of approximately 155,000 participants with thyroid cancer occurrence and mortality incidence. The ML models are explored for predicting mortality rates of patients with thyroid … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 7,788 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDoes Over or Under Dispersion in Inverse Binomial Data Suggest Anything? A Case in Point is the Waiting Time for Both Heart-Lung TransplantsRamalingam ShanmugamThe model is an abstraction of the reality. The selection of the usual inverse binomial as an underlying model for the number of patients waiting in months for heart and lung transplant is questionable because the data exhibit not the required balance between the dispersion and its functional equivalent in terms of the mean but rather an over or under … …Current Research in Biostatistics, Vol. 3, Issue 2 · 29 Jan 2014 · 6,888 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAnticancer Activity of Some New Synthesized Tetrahydroquinoline and Tetrahydrochromene Carbonitrile DerivativesUsama W. Hawas, Mohamed A. Al-Omar, Abd El-Galil E. Amr, Abu El-Ftouh G. HammamProblem statement: In continuation to our search for new heterocyclic chemistry based anticancer, the suggestion, synthesis, structure elucidation of some naphthalene, chromene and quinoline derivatives 3-7 were realized herein using 3-methylcyclohexanone 1 as a starting material. Approach: The antitumor activities of the newly synthesized compounds 4-7 were evaluated utilizing 60 different human tumor cell lines, representing leukemia, melanoma, lung, colon, … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 14 Sep 2011 · 7,484 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordMusharakah Mutanaqisah Partnership in Malaysia’s Islamic Bank: A Comparison Between Theory and PracticeLee Ching LungDiminishing Musharakah Mutanaqisah Partnership (MMP) contract has been offered by Islamic banks in Malaysia, this study aims to presents the result of a comparison made between the theoretical explanations of how the MMP works and what is actually being done in practice. This study makes use of a qualitative approach in analysing how the MMP works in practice. It then … …American Journal of Economics and Business Administration, Vol. 5, Issue 3 · 12 Feb 2014 · 8,964 accessesView PDF Cite