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FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI.
Hasan, Md Mahmodul; Hossain, Muhammad Minoar; Rahman, Mohammad Motiur; Azad, Akm; Alyami, Salem A; Moni, Mohammad Ali.
Affiliation
  • Hasan MM; Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1902, Dhaka, Bangladesh. Electronic address: mahmodul.mbstu@gmail.com.
  • Hossain MM; Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1902, Dhaka, Bangladesh; Department of Computer Science and Engineering, Bangladesh University, Mohammadpur, Dhaka, 1207, Bangladesh. Electronic address: minoarhossain16005@gmail.com.
  • Rahman MM; Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1902, Dhaka, Bangladesh. Electronic address: motiurcse@mbstu.ac.bd.
  • Azad A; Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 13318, Saudi Arabia. Electronic address: kazad@imamu.edu.sa.
  • Alyami SA; Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 13318, Saudi Arabia. Electronic address: saalyami@imamu.edu.sa.
  • Moni MA; Artificial Intelligence & Data Science, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD 4072, Australia; Artificial Intelligence and Cyber Futures Institute, Charles Stuart University, Bathurst, NSW 2795, Australia. Electronic address: m.moni@uq.edu.au.
Comput Biol Med ; 165: 107407, 2023 10.
Article in En | MEDLINE | ID: mdl-37678140
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Country of publication: Estados Unidos
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Country of publication: Estados Unidos