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Habib, Rafi Ullah (2019) Optimal Compression of Medical Images. International Journal of Advanced Computer Science and Applications, 10. doi:10.14569/ijacsa.2019.0100415

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Reference TypeJournal (article/letter/editorial)
TitleOptimal Compression of Medical Images
JournalInternational Journal of Advanced Computer Science and Applications
AuthorsHabib, Rafi UllahAuthor
Year2019Volume10
PublisherThe Science and Information Organization
DOIdoi:10.14569/ijacsa.2019.0100415Search in ResearchGate
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Mindat Ref. ID10373330Long-form Identifiermindat:1:5:10373330:4
GUID0
Full ReferenceHabib, Rafi Ullah (2019) Optimal Compression of Medical Images. International Journal of Advanced Computer Science and Applications, 10. doi:10.14569/ijacsa.2019.0100415
Plain TextHabib, Rafi Ullah (2019) Optimal Compression of Medical Images. International Journal of Advanced Computer Science and Applications, 10. doi:10.14569/ijacsa.2019.0100415
In(n.d.) International Journal of Advanced Computer Science and Applications Vol. 10. The Science and Information Organization

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Habib, Rafi Ullah, Al-Fayez, Fayez (2019) Protection of Ultrasound Image Sequence: Employing Motion Vector Reversible Watermarking. International Journal of Advanced Computer Science and Applications, 10. doi:10.14569/ijacsa.2019.0100416
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Aljoloud, Abdulaziz Salamah, Ullah, Habib, Alownie, Adwan (2020) Facial Emotion Recognition using Neighborhood Features. International Journal of Advanced Computer Science and Applications, 11. doi:10.14569/ijacsa.2020.0110137
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Jebali, Nada, Gharsallah, Ali (2019) A Circular Polarization RFID Tag for Medical Uses. International Journal of Advanced Computer Science and Applications, 10. doi:10.14569/ijacsa.2019.0100661
Saudagar, Abdul Khader Jilani (2020) Learning based Coding for Medical Image Compression. International Journal of Advanced Computer Science and Applications, 11 (6) doi:10.14569/ijacsa.2020.0110614
ul, Iftikhar, Bin, Maaz, Asif, Muhammad, Ullah, Rafi (2018) DoS/DDoS Detection for E-Healthcare in Internet of Things. International Journal of Advanced Computer Science and Applications, 9. doi:10.14569/ijacsa.2018.090140
Saraswathi, H S, Rafi, Mohamed (2023) U-Net-based Pancreas Tumor Segmentation from Abdominal CT Images. International Journal of Advanced Computer Science and Applications, 14 (7) doi:10.14569/ijacsa.2023.0140770
 
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