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Deep learning-based decision support system for cervical cancer identification in liquid-based cytology pap smears.

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Title: Deep learning-based decision support system for cervical cancer identification in liquid-based cytology pap smears.
Authors: Atteia G; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Alabdulhafith M; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Abdallah HA; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Abdel Samee N; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Alayed W; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Source: Technology and health care : official journal of the European Society for Engineering and Medicine [Technol Health Care] 2025 Sep; Vol. 33 (5), pp. 2194-2210. Date of Electronic Publication: 2025 Apr 30.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 9314590 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-7401 (Electronic) Linking ISSN: 09287329 NLM ISO Abbreviation: Technol Health Care Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep learning-based decision support system for cervical cancer identification in liquid-based cytology pap smears.
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  Data: <searchLink fieldCode="AU" term="%22Atteia+G%22">Atteia G</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alabdulhafith+M%22">Alabdulhafith M</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Abdallah+HA%22">Abdallah HA</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Abdel+Samee+N%22">Abdel Samee N</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alayed+W%22">Alayed W</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
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  Data: <searchLink fieldCode="JN" term="%229314590%22">Technology and health care : official journal of the European Society for Engineering and Medicine</searchLink> [Technol Health Care] 2025 Sep; Vol. 33 (5), pp. 2194-2210. <i>Date of Electronic Publication: </i>2025 Apr 30.
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