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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

• Authors : Ali S; School of Computing, Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, LS2 9JT, UK. .; Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK. .

Subjects: Deep Learning* ; Polyps* ; Crowdsourcing*

• Source: Scientific reports [Sci Rep] 2024 Jan 23; Vol. 14 (1), pp. 2032. Date of Electronic Publication: 2024 Jan 23.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Design of synthetic promoters for cyanobacteria with generative deep-learning model.

• Authors : Seo E; Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk37673, Korea.; Choi YN

Subjects: Deep Learning* ; Synechocystis*/Synechocystis*/Synechocystis*/genetics; Promoter Regions, Genetic

• Source: Nucleic acids research [Nucleic Acids Res] 2023 Jul 21; Vol. 51 (13), pp. 7071-7082.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN:

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Predicting multipotency of human adult stem cells derived from various donors through deep learning.

• Authors : Kim H; Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 37673, South Korea.; Park K

Subjects: Deep Learning* ; Adult Stem Cells*; Adult

• Source: Scientific reports [Sci Rep] 2022 Dec 14; Vol. 12 (1), pp. 21614. Date of Electronic Publication: 2022 Dec 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Deep learning alignment of bidirectional raster scanning in high speed photoacoustic microscopy.

• Authors : Kim J; Departments of Electrical Engineering, Mechanical Engineering, Convergence IT Engineering, Interdisciplinary Bioscience and Bioengineering, Medical Device Innovation Center, Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.; Lee D

Subjects: Deep Learning* ; Photoacoustic Techniques*/Photoacoustic Techniques*/Photoacoustic Techniques*/methods; Cross-Sectional Studies

• Source: Scientific reports [Sci Rep] 2022 Sep 28; Vol. 12 (1), pp. 16238. Date of Electronic Publication: 2022 Sep 28.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Classification and Functional Analysis between Cancer and Normal Tissues Using Explainable Pathway Deep Learning through RNA-Sequencing Gene Expression.

• Authors : Park S; Department of Advanced Convergence, Handong Global University, Pohang-si 37554, Gyeongbuk, Korea.; Huang E

Subjects: Deep Learning*; Neoplasms/Neoplasms/Neoplasms/*classification ; Neoplasms/Neoplasms/Neoplasms/*genetics

• Source: International journal of molecular sciences [Int J Mol Sci] 2021 Oct 26; Vol. 22 (21). Date of Electronic Publication: 2021 Oct 26.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067

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The feasibility of deep learning-based synthetic contrast-enhanced CT from nonenhanced CT in emergency department patients with acute abdominal pain.

• Authors : Kim SW; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.; Kim JH

Subjects: Deep Learning* ; Emergency Service, Hospital*; Abdominal Pain/Abdominal Pain/Abdominal Pain/*diagnostic imaging

• Source: Scientific reports [Sci Rep] 2021 Oct 14; Vol. 11 (1), pp. 20390. Date of Electronic Publication: 2021 Oct 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning.

• Authors : Song S; Division of Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea.; Kim B

Subjects: Data Compression* ; Deep Learning*; Algorithms

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Jun 07; Vol. 21 (11). Date of Electronic Publication: 2021 Jun 07.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear.

• Authors : Lee K; Information and Communication Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Korea.; Kim JY

Subjects: Deep Learning*; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Mar 22; Vol. 21 (6). Date of Electronic Publication: 2021 Mar 22.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition.

• Authors : Kim K; Department of Information and Communication Engineering Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.; Department of Neurology University of California San Francisco (UCSF) San Francisco CA 94158 USA.

Subjects: Cognition* ; Deep Learning* ; Touch*

• Source: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2021 Feb 08; Vol. 8 (7), pp. 2002362. Date of Electronic Publication: 2021 Feb 08 (Print Publication: Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: eCollection Cited Medium: Internet ISSN: 2198-3844

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Multi-Scale 3D Cephalometric Landmark Detection Based on Direct Regression with 3D CNN Architectures.

• Authors : Song, Chanho¹ (AUTHOR) ; Jeong, Yoosoo² (AUTHOR) ; Huh, Hyungkyu¹ (AUTHOR)

• Source: Diagnostics (2075-4418). Nov2024, Vol. 14 Issue 22, p2605. 12p.

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