Intelligent lung cancer MRI prediction analysis based on cluster prominence and posterior probabilities utilizing intelligent Bayesian methods on extracted gray-level co-occurrence (GLCM) features.
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| Title: | Intelligent lung cancer MRI prediction analysis based on cluster prominence and posterior probabilities utilizing intelligent Bayesian methods on extracted gray-level co-occurrence (GLCM) features. |
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| Authors: | Yang J; Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia., Yee PL; Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia., Khan AA; Department of Computer Science and Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, Pakistan., Karamti H; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Eldin ET; Faculty of Engineering and Technology, Future University in Egypt, New Cairo, Cairo, Egypt., Aldweesh A; College of Computer Science and Information Technology, Shaqra University, Shaqra, Saudi Arabia., Jery AE; Department of Chemical Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia.; National Engineering School of Gabes, Gabes University, Zrig Gabes, Tunisia., Hussain L; Department of Computer Science and Information Technology, King Abdullah Campus Chatter Kalas, University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.; Department of Computer Science and Information Technology, University of Azad Jammu and Kashmir, Athmuqam, Azad Kashmir, Pakistan., Omar A; Department of English, College of Science & Humanities, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. |
| Source: | Digital health [Digit Health] 2023 May 25; Vol. 9, pp. 20552076231172632. Date of Electronic Publication: 2023 May 25 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2055-2076 |
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| DOI: | 10.1177/20552076231172632 |
