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Showing results (581-590 of 712) with videos related to

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Cancers|April 14, 2026
Integrating Artificial Intelligence into Breast Cancer Histopathology: Toward Improved Diagnosis and PrognosisGavino Faa, Eleonora Lai, Flaviana Cau, et al.
Computer Methods and Programs in Biomedicine|March 1, 2017
Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessmentNobutaka Ikeda, Nilanjan Dey, Aditya Sharma, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|May 3, 2013
Diagnosis of Hashimoto's thyroiditis in ultrasound using tissue characterization and pixel classificationU R Acharya, S Vinitha Sree, M R K Mookiah, et al.
Frontiers in Bioscience (Landmark Edition)|February 29, 2024
aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in <i>Escherichia coli</i>Debasish Swapnesh Kumar Nayak, Saswati Mahapatra, Sweta Padma Routray, et al.
Kidney360|July 18, 2022
Lived Experiences of Patients Receiving Hemodialysis during the COVID-19 Pandemic: A Qualitative Study from the Quebec Renal NetworkMarie-Françoise Malo, Aliya Affdal, Dan Blum, et al.
Computer Methods and Programs in Biomedicine|June 5, 2012
Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: our review and experience using four fully automated and one semi-automated methodsFilippo Molinari, Kristen M Meiburger, Luca Saba, et al.
Ultrasound in Medicine & Biology|April 17, 2012
Atherosclerotic risk stratification strategy for carotid arteries using texture-based featuresU Rajendra Acharya, S Vinitha Sree, M Muthu Rama Krishnan, et al.
Computer Methods and Programs in Biomedicine|December 20, 2014
A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasoundTadashi Araki, Nobutaka Ikeda, Nilanjan Dey, et al.
Computers in Biology and Medicine|September 29, 2022
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularizationAmer M Johri, Krishna V Singh, Laura E Mantella, et al.
Computer Methods and Programs in Biomedicine|April 5, 2016
PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphologyTadashi Araki, Nobutaka Ikeda, Devarshi Shukla, et al.
Pageof 72

Showing results (581-590 of 712) with videos related to

Sort By:
Pageof 72
Cancers|April 14, 2026
Integrating Artificial Intelligence into Breast Cancer Histopathology: Toward Improved Diagnosis and PrognosisGavino Faa, Eleonora Lai, Flaviana Cau, et al.
Computer Methods and Programs in Biomedicine|March 1, 2017
Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessmentNobutaka Ikeda, Nilanjan Dey, Aditya Sharma, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|May 3, 2013
Diagnosis of Hashimoto's thyroiditis in ultrasound using tissue characterization and pixel classificationU R Acharya, S Vinitha Sree, M R K Mookiah, et al.
Frontiers in Bioscience (Landmark Edition)|February 29, 2024
aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in <i>Escherichia coli</i>Debasish Swapnesh Kumar Nayak, Saswati Mahapatra, Sweta Padma Routray, et al.
Kidney360|July 18, 2022
Lived Experiences of Patients Receiving Hemodialysis during the COVID-19 Pandemic: A Qualitative Study from the Quebec Renal NetworkMarie-Françoise Malo, Aliya Affdal, Dan Blum, et al.
Computer Methods and Programs in Biomedicine|June 5, 2012
Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: our review and experience using four fully automated and one semi-automated methodsFilippo Molinari, Kristen M Meiburger, Luca Saba, et al.
Ultrasound in Medicine & Biology|April 17, 2012
Atherosclerotic risk stratification strategy for carotid arteries using texture-based featuresU Rajendra Acharya, S Vinitha Sree, M Muthu Rama Krishnan, et al.
Computer Methods and Programs in Biomedicine|December 20, 2014
A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasoundTadashi Araki, Nobutaka Ikeda, Nilanjan Dey, et al.
Computers in Biology and Medicine|September 29, 2022
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularizationAmer M Johri, Krishna V Singh, Laura E Mantella, et al.
Computer Methods and Programs in Biomedicine|April 5, 2016
PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphologyTadashi Araki, Nobutaka Ikeda, Devarshi Shukla, et al.
Pageof 72