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Academic Journal

A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention.

  • Authors : Efat AH; Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh.; Hasan SMM

Subjects: Neural Networks, Computer* ; Machine Learning* ; Skin Neoplasms*/Skin Neoplasms*/Skin Neoplasms*/diagnosis

  • Source: PloS one [PLoS One] 2024 Oct 24; Vol. 19 (10), pp. e0309430. Date of Electronic Publication: 2024 Oct 24 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Probing the link between vision and language in material perception using psychophysics and unsupervised learning.

  • Authors : Liao C; American University, Department of Neuroscience, Washington DC, United States of America.; Sawayama M

Subjects: Unsupervised Machine Learning* ; Language* ; Visual Perception*/Visual Perception*/Visual Perception*/physiology

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Oct 03; Vol. 20 (10), pp. e1012481. Date of Electronic Publication: 2024 Oct 03 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection

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Academic Journal

Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography.

  • Authors : Kasim S; Faculty of Medicine, Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Malaysia.; Cardiac Vascular and Lung Research Institute, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia.

Subjects: Echocardiography*/Echocardiography*/Echocardiography*/methods ; Myocardial Infarction*/Myocardial Infarction*/Myocardial Infarction*/diagnostic imaging ; Myocardial Infarction*/Myocardial Infarction*/Myocardial Infarction*/diagnosis

  • Source: PloS one [PLoS One] 2024 Sep 12; Vol. 19 (9), pp. e0310107. Date of Electronic Publication: 2024 Sep 12 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Antivirals for monkeypox virus: Proposing an effective machine/deep learning framework.

  • Authors : Hashemi M; Department of Computer Science, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran.; Zabihian A

Subjects: Antiviral Agents*/Antiviral Agents*/Antiviral Agents*/pharmacology ; Deep Learning* ; Monkeypox virus*/Monkeypox virus*/Monkeypox virus*/drug effects

  • Source: PloS one [PLoS One] 2024 Sep 12; Vol. 19 (9), pp. e0299342. Date of Electronic Publication: 2024 Sep 12 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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