Art

J-GLOBAL ID：202302260443189133   Reference number：23A1927875

Lung Cancer Prediction Using Robust Machine Learning and Image Enhancement Methods on Extracted Gray-Level Co-Occurrence Matrix Features

抽出グレーレベル共起行列特徴に関するロバストな機械学習と画像強調法を用いた肺癌予測【JST・京大機械翻訳】

Author (11)： Hussain Lal (Department of Computer Science and Information Technology, King Abdullah Campus Chatter Kalas, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan) ,  Hussain Lal (Department of Computer Science and Information Technology, Neelum Campus, University of Azad Jammu and Kashmir, Athmuqam 13230, Pakistan) ,  Alsolai Hadeel (Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia) ,  Hassine Siwar Ben Haj (Department of Computer Science, College of Science and Arts at Muhayel, King Khalid University, Abha 62529, Saudi Arabia) ,  Nour Mohamed K. (Department of Computer Science, College of Computing and Information System, Umm Al-Qura University, Makkah 21955, Saudi Arabia) ,  Duhayyim Mesfer Al (Department of Computer Science, College of Sciences and Humanities-Aflaj, Prince Sattam Bin Abdulaziz University, Alfaj 16828, Saudi Arabia) ,  Hilal Anwer Mustafa (Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia) ,  Salama Ahmed S. (Electrical Engineering, Faculty of Engineering & Technology, Future University in Egypt, New Cairo 11845, Egypt) ,  Motwakel Abdelwahed (Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia) ,  Yaseen Ishfaq (Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia) ,  Rizwanullah Mohammed (Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia)
Material： Applied Sciences (Web)
Volume： 12  Issue： 13  Page： 6517  Publication year： 2022 
JST Material Number： U7135A  ISSN： 2076-3417  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： In the present era, cancer is ...

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Thesaurus term： *matrix(mathematics) ,  contrast ,  optimization ,  polynomial ,  feature extraction ,  *image ,  image quality ,  decision tree ,  prognosis ,  *picture enhancement ,  *robustness ,  *lung tumor ,  *machine learning ,  support vector machine
Semi thesaurus term： *共起行列 ,  同時生起行列 , 【Automatic Indexing@JST】

Author keywords (5)： GLCM features extraction ,  image enhancement ,  machine learning ,  neural network ,  image adjustment

JST classification (2)： Graphic and image processing in general  (JE04010I) ,  Pattern recognition  (JE07000S)

Reference (72)：

• Siegel, R.L.; Miller, K.D.; Fuchs, H.E.; Jemal, A. Cancer Statistics, 2021. CA. Cancer J. Clin. 2021, 71, 7-33.
• Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer statistics, 2018. CA. Cancer J. Clin. 2018, 68, 7-30.
• Oser, M.G.; Niederst, M.J.; Sequist, L.V.; Engelman, J.A. Transformation from non-small-cell lung cancer to small-cell lung cancer: Molecular drivers and cells of origin. Lancet Oncol. 2015, 16, e165-e172.
• Krishnaiah, V.; Narsimha, G.; Chandra, D.N.S. Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques. Int. J. Comput. Sci. Inf. Technol. 2013, 4, 39-45.
• Giger, M.L.; Chan, H.-P.P.; Boone, J. Anniversary Paper: History and status of CAD and quantitative image analysis: The role of Medical Physics and AAPM. Med. Phys. 2008, 35, 5799-5820.

Terms in the title (6)： 共起行列 ,  ロバスト ,  機械学習 ,  画像強調 ,  肺癌 ,  予測