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Deep Learning for Pathology: YOLOv8 with EigenCAM for Reliable Colorectal Cancer Diagnostics.

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Title: Deep Learning for Pathology: YOLOv8 with EigenCAM for Reliable Colorectal Cancer Diagnostics.
Authors: Farsi M; Department of Information Systems, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia., ZainEldin H; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 46421, Egypt., Sayed HA; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.; Department of Computer Science, Faculty of Computers and Information, Assiut University, Assiut 71516, Egypt., El-Agamy RF; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.; Computer Science Department, Faculty of Science, Tanta University, Tanta 31527, Egypt., Atlam ES; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.; Department of Computer Science, Tanta University, Tanta 31527, Egypt., Alsaedi SA; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia., Alwateer M; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia., Balaha HM; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 46421, Egypt.; Bioengineering Department, J.B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA., Badawy M; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 46421, Egypt.; Department of Computer Science and Information, Applied College, Taibah University, Medinah 41461, Saudi Arabia., Elhosseini MA; Department of Information Systems, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 46421, Egypt.
Source: Bioengineering (Basel, Switzerland) [Bioengineering (Basel)] 2025 Nov 03; Vol. 12 (11). Date of Electronic Publication: 2025 Nov 03.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101676056 Publication Model: Electronic Cited Medium: Print ISSN: 2306-5354 (Print) Linking ISSN: 23065354 NLM ISO Abbreviation: Bioengineering (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep Learning for Pathology: YOLOv8 with EigenCAM for Reliable Colorectal Cancer Diagnostics.
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  Data: <searchLink fieldCode="AU" term="%22Farsi+M%22">Farsi M</searchLink>; Department of Information Systems, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22ZainEldin+H%22">ZainEldin H</searchLink>; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 46421, Egypt.<br /><searchLink fieldCode="AU" term="%22Sayed+HA%22">Sayed HA</searchLink>; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.; Department of Computer Science, Faculty of Computers and Information, Assiut University, Assiut 71516, Egypt.<br /><searchLink fieldCode="AU" term="%22El-Agamy+RF%22">El-Agamy RF</searchLink>; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.; Computer Science Department, Faculty of Science, Tanta University, Tanta 31527, Egypt.<br /><searchLink fieldCode="AU" term="%22Atlam+ES%22">Atlam ES</searchLink>; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.; Department of Computer Science, Tanta University, Tanta 31527, Egypt.<br /><searchLink fieldCode="AU" term="%22Alsaedi+SA%22">Alsaedi SA</searchLink>; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alwateer+M%22">Alwateer M</searchLink>; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Balaha+HM%22">Balaha HM</searchLink>; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 46421, Egypt.; Bioengineering Department, J.B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA.<br /><searchLink fieldCode="AU" term="%22Badawy+M%22">Badawy M</searchLink>; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 46421, Egypt.; Department of Computer Science and Information, Applied College, Taibah University, Medinah 41461, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Elhosseini+MA%22">Elhosseini MA</searchLink>; Department of Information Systems, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 46421, Egypt.
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  Data: <searchLink fieldCode="JN" term="%22101676056%22">Bioengineering (Basel, Switzerland)</searchLink> [Bioengineering (Basel)] 2025 Nov 03; Vol. 12 (11). <i>Date of Electronic Publication: </i>2025 Nov 03.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101676056 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2306-5354 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223065354%22">23065354 </searchLink><i>NLM ISO Abbreviation: </i>Bioengineering (Basel) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3390/bioengineering12111203
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      – TitleFull: Deep Learning for Pathology: YOLOv8 with EigenCAM for Reliable Colorectal Cancer Diagnostics.
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            – D: 03
              M: 11
              Text: 2025 Nov 03
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