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Academic Journal

Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects.

  • Authors : Jimenez-Mesa C; Department of Signal Theory, Networking and Communications, University of Granada, 18010, Spain.; Arco JE

Subjects: Deep Learning*; Tomography, X-Ray Computed ; Positron-Emission Tomography/Positron-Emission Tomography/Positron-Emission Tomography/methods

  • Source: Pharmacological research [Pharmacol Res] 2023 Nov; Vol. 197, pp. 106984. Date of Electronic Publication: 2023 Nov 07.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8907422 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

A fusion framework of deep learning and machine learning for predicting sgRNA cleavage efficiency.

  • Authors : Liu Y; Department of Biomedical Informatics, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing, China.; Fan R

Subjects: Deep Learning*; RNA, Guide, CRISPR-Cas Systems ; Machine Learning

  • Source: Computers in biology and medicine [Comput Biol Med] 2023 Oct; Vol. 165, pp. 107476. Date of Electronic Publication: 2023 Sep 06.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium:

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Editorial & Opinion

Next Frontier for Artificial Intelligence in Imaging: Moving Beyond Risk Prediction Toward Effective Implementation.

  • Authors : Patel KK; Icahn School of Medicine at Mount Sinai, New York, New York, USA. Electronic address: .

Subjects: Artificial Intelligence* ; Deep Learning*; Humans

  • Source: JACC. Cardiovascular imaging [JACC Cardiovasc Imaging] 2023 Feb; Vol. 16 (2), pp. 221-223. Date of Electronic Publication: 2022 Nov 16.Publisher: Elsevier Country of Publication: United States NLM ID: 101467978 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods.

  • Authors : Ranjbarzadeh R; School of Computing, Faculty of Engineering and Computing, Dublin City University, Ireland. Electronic address: .; Dorosti S

Subjects: Deep Learning* ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/pathology ; Mammary Neoplasms, Animal*

  • Source: Computers in biology and medicine [Comput Biol Med] 2023 Jan; Vol. 152, pp. 106443. Date of Electronic Publication: 2022 Dec 19.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data.

  • Authors : Supakar R; Lincoln University College, Malaysia; Dr. Sudhir Chandra Sur Institute of Technology and Sports Complex, Dumdum, West Bengal, India. Electronic address: .

Subjects: Deep Learning* ; Schizophrenia*/Schizophrenia*/Schizophrenia*/diagnosis; Humans

  • Source: Computers in biology and medicine [Comput Biol Med] 2022 Dec; Vol. 151 (Pt A), pp. 106225. Date of Electronic Publication: 2022 Oct 19.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning methods.

  • Authors : Hasan M; The University of Sheffield, School of Health and Related Research (ScHARR), Sheffield, United Kingdom. Electronic address: .; Bath PA

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnosis ; Deep Learning*; Adult

  • Source: Computers in biology and medicine [Comput Biol Med] 2022 Dec; Vol. 151 (Pt A), pp. 106024. Date of Electronic Publication: 2022 Aug 28.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

A hierarchical machine learning model based on Glioblastoma patients' clinical, biomedical, and image data to analyze their treatment plans.

  • Authors : Ershadi MM; Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran. Electronic address: .; Rise ZR

Subjects: Glioblastoma*/Glioblastoma*/Glioblastoma*/diagnostic imaging ; Glioblastoma*/Glioblastoma*/Glioblastoma*/therapy ; Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/diagnostic imaging

  • Source: Computers in biology and medicine [Comput Biol Med] 2022 Nov; Vol. 150, pp. 106159. Date of Electronic Publication: 2022 Oct 04.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Background selection schema on deep learning-based classification of dermatological disease.

  • Authors : Zhou J; School of Computer Science and Engineering, Central South University, Changsha 410083, China; College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China.

Subjects: Deep Learning* ; Skin Diseases*; Artificial Intelligence

  • Source: Computers in biology and medicine [Comput Biol Med] 2022 Oct; Vol. 149, pp. 105966. Date of Electronic Publication: 2022 Aug 17.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Breast cancer detection using deep learning: Datasets, methods, and challenges ahead.

  • Authors : Din NMU; Department of Computer Science and Engineering, Islamic University of Science and Techonology Kashmir, Awantipora, 192122, J&K, India. Electronic address: .; Dar RA

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/pathology ; Deep Learning*; Breast/Breast/Breast/diagnostic imaging

  • Source: Computers in biology and medicine [Comput Biol Med] 2022 Oct; Vol. 149, pp. 106073. Date of Electronic Publication: 2022 Aug 31.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Glomerular disease classification and lesion identification by machine learning.

  • Authors : Yang CK; aetherAI, Co., Ltd., Taipei, Taiwan.; Lee CY

Subjects: Deep Learning*; Humans ; Image Processing, Computer-Assisted/Image Processing, Computer-Assisted/Image Processing, Computer-Assisted/methods

  • Source: Biomedical journal [Biomed J] 2022 Aug; Vol. 45 (4), pp. 675-685. Date of Electronic Publication: 2021 Sep 08.Publisher: Elsevier Country of Publication: United States NLM ID: 101599820 Publication Model: Print-Electronic Cited Medium:

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