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MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment.

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Title: MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment.
Authors: Biswas M; School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India., Saba L; Department of Radiology, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Monserrato, Italy., Kalra M; Department of Radiology, Massachusetts General Hospital, Boston, MA 02115, USA., Singh R; Department of Research and Innovation, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun 248007, India., Fernandes E Fernandes J; Cardiovascular Institute and the Lisbon University Medical School, Hospital de SantaMaria, Lisbon 1600 190, Portugal., Viswanathan V; MV Diabetes Centre, Royapuram, Chennai, Tamil Nadu, India., Laird JR; Cardiology Department, St. Helena Hospital, St. Helena, CA, USA., Mantella LE; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada., Johri AM; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada., Fouda MM; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, 83209, USA., Suri JS; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, 83209, USA; Department of CS, Graphics Era University, Dehradun, India; University Center for Research & Development, Chandigarh University, Mohali, India; Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, India; Stroke Monitoring Division, AtheroPoint™ LLC, Roseville, CA, USA. Electronic address: jasjit.suri@atheropoint.com.
Source: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [Comput Med Imaging Graph] 2024 Oct; Vol. 117, pp. 102437. Date of Electronic Publication: 2024 Oct 05.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 8806104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0771 (Electronic) Linking ISSN: 08956111 NLM ISO Abbreviation: Comput Med Imaging Graph Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment.
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  Data: <searchLink fieldCode="AU" term="%22Biswas+M%22">Biswas M</searchLink>; School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India.<br /><searchLink fieldCode="AU" term="%22Saba+L%22">Saba L</searchLink>; Department of Radiology, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Monserrato, Italy.<br /><searchLink fieldCode="AU" term="%22Kalra+M%22">Kalra M</searchLink>; Department of Radiology, Massachusetts General Hospital, Boston, MA 02115, USA.<br /><searchLink fieldCode="AU" term="%22Singh+R%22">Singh R</searchLink>; Department of Research and Innovation, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun 248007, India.<br /><searchLink fieldCode="AU" term="%22Fernandes+E+Fernandes+J%22">Fernandes E Fernandes J</searchLink>; Cardiovascular Institute and the Lisbon University Medical School, Hospital de SantaMaria, Lisbon 1600 190, Portugal.<br /><searchLink fieldCode="AU" term="%22Viswanathan+V%22">Viswanathan V</searchLink>; MV Diabetes Centre, Royapuram, Chennai, Tamil Nadu, India.<br /><searchLink fieldCode="AU" term="%22Laird+JR%22">Laird JR</searchLink>; Cardiology Department, St. Helena Hospital, St. Helena, CA, USA.<br /><searchLink fieldCode="AU" term="%22Mantella+LE%22">Mantella LE</searchLink>; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Johri+AM%22">Johri AM</searchLink>; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Fouda+MM%22">Fouda MM</searchLink>; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, 83209, USA.<br /><searchLink fieldCode="AU" term="%22Suri+JS%22">Suri JS</searchLink>; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, 83209, USA; Department of CS, Graphics Era University, Dehradun, India; University Center for Research & Development, Chandigarh University, Mohali, India; Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, India; Stroke Monitoring Division, AtheroPoint™ LLC, Roseville, CA, USA. Electronic address: jasjit.suri@atheropoint.com.
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  Data: <searchLink fieldCode="JN" term="%228806104%22">Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society</searchLink> [Comput Med Imaging Graph] 2024 Oct; Vol. 117, pp. 102437. <i>Date of Electronic Publication: </i>2024 Oct 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%22">Elsevier Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8806104 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0771 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208956111%22">08956111 </searchLink><i>NLM ISO Abbreviation: </i>Comput Med Imaging Graph <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.compmedimag.2024.102437
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      – TitleFull: MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment.
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              M: 10
              Text: 2024 Oct
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