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HAAU-Net: Hybrid Adaptive Attention U-Net Integrated with Context-Aware Morphologically Stable Features for Real-Time MRI Brain Tumor Detection and Segmentation.

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Title: HAAU-Net: Hybrid Adaptive Attention U-Net Integrated with Context-Aware Morphologically Stable Features for Real-Time MRI Brain Tumor Detection and Segmentation.
Authors: Asghar MA; Department of Electrical and Computer Engineering, Riphah International University, I-14 Campus, Islamabad 44000, Pakistan., Shoaib S; GUST Engineering & Applied Innovation Research Centre (GEAR), Hawally 32093, Kuwait.; Department of Engineering, Gulf University for Science and Technology (GUST), Hawally 32093, Kuwait., Zahid M; Department of Telecommunication Engineering, University of Engineering and Technology, Taxila 47050, Pakistan.
Source: Tomography (Ann Arbor, Mich.) [Tomography] 2026 Mar 25; Vol. 12 (4). Date of Electronic Publication: 2026 Mar 25.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101671170 Publication Model: Electronic Cited Medium: Internet ISSN: 2379-139X (Electronic) Linking ISSN: 23791381 NLM ISO Abbreviation: Tomography Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: HAAU-Net: Hybrid Adaptive Attention U-Net Integrated with Context-Aware Morphologically Stable Features for Real-Time MRI Brain Tumor Detection and Segmentation.
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  Data: <searchLink fieldCode="AU" term="%22Asghar+MA%22">Asghar MA</searchLink>; Department of Electrical and Computer Engineering, Riphah International University, I-14 Campus, Islamabad 44000, Pakistan.<br /><searchLink fieldCode="AU" term="%22Shoaib+S%22">Shoaib S</searchLink>; GUST Engineering & Applied Innovation Research Centre (GEAR), Hawally 32093, Kuwait.; Department of Engineering, Gulf University for Science and Technology (GUST), Hawally 32093, Kuwait.<br /><searchLink fieldCode="AU" term="%22Zahid+M%22">Zahid M</searchLink>; Department of Telecommunication Engineering, University of Engineering and Technology, Taxila 47050, Pakistan.
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  Data: <searchLink fieldCode="JN" term="%22101671170%22">Tomography (Ann Arbor, Mich.)</searchLink> [Tomography] 2026 Mar 25; Vol. 12 (4). <i>Date of Electronic Publication: </i>2026 Mar 25.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101671170 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2379-139X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223791381%22">23791381 </searchLink><i>NLM ISO Abbreviation: </i>Tomography <i>Subsets: </i>MEDLINE
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        Value: 10.3390/tomography12040044
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      – Code: eng
        Text: English
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      – TitleFull: HAAU-Net: Hybrid Adaptive Attention U-Net Integrated with Context-Aware Morphologically Stable Features for Real-Time MRI Brain Tumor Detection and Segmentation.
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            NameFull: Asghar MA
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            NameFull: Shoaib S
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            – D: 25
              M: 03
              Text: 2026 Mar 25
              Type: published
              Y: 2026
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