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Multidimensional CNN-Based Deep Segmentation Method for Tumor Identification.

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Title: Multidimensional CNN-Based Deep Segmentation Method for Tumor Identification.
Authors: Martin RJ; Faculty of Computer Science and Information Technology, Jazan University, Saudi Arabia., Sharma U; Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India., Kaur K; Department of CSE, University Centre for Research & Development, Chandigarh University, Mohali, Punjab 140413, India., Kadhim NM; Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad 10021, Iraq., Lamin M; Computer Science and Engineering, ITM SLS Baroda University, Vadodara, 391510 Gujarat, India., Ayipeh CS; Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Source: BioMed research international [Biomed Res Int] 2022 Aug 21; Vol. 2022, pp. 5061112. Date of Electronic Publication: 2022 Aug 21 (Print Publication: 2022).
Publication Type: Journal Article; Retracted Publication
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 101600173 Publication Model: eCollection Cited Medium: Internet ISSN: 2314-6141 (Electronic) NLM ISO Abbreviation: Biomed Res Int Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Martin+RJ%22">Martin RJ</searchLink>; Faculty of Computer Science and Information Technology, Jazan University, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Sharma+U%22">Sharma U</searchLink>; Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India.<br /><searchLink fieldCode="AU" term="%22Kaur+K%22">Kaur K</searchLink>; Department of CSE, University Centre for Research & Development, Chandigarh University, Mohali, Punjab 140413, India.<br /><searchLink fieldCode="AU" term="%22Kadhim+NM%22">Kadhim NM</searchLink>; Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad 10021, Iraq.<br /><searchLink fieldCode="AU" term="%22Lamin+M%22">Lamin M</searchLink>; Computer Science and Engineering, ITM SLS Baroda University, Vadodara, 391510 Gujarat, India.<br /><searchLink fieldCode="AU" term="%22Ayipeh+CS%22">Ayipeh CS</searchLink>; Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
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  Data: <searchLink fieldCode="JN" term="%22101600173%22">BioMed research international</searchLink> [Biomed Res Int] 2022 Aug 21; Vol. 2022, pp. 5061112. <i>Date of Electronic Publication: </i>2022 Aug 21 (<i>Print Publication: </i>2022).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101600173 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2314-6141 (Electronic) <i>NLM ISO Abbreviation: </i>Biomed Res Int <i>Subsets: </i>MEDLINE
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        Value: 10.1155/2022/5061112
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        Text: English
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              Text: 2022 Aug 21
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