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BMC Medical Informatics and Decision Making, 2019 Background With the advancement of powerful image processing and machine learning techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of medicine including ophthalmology.
Muhammad Naseer Bajwa +6 more
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DIGITAL INTELLIGENCE IN THE AGE OF ARTIFICIAL INTELLIGENCE [PDF]
Proceedings on Engineering Sciences, 2023 This systematic review examines the current state of digital intelligence in the age of artificial intelligence. A total of 26 relevant papers were shortlisted for a review based on a keyword search of academic databases.
Mohammed Qelhas
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Shallow Model and Deep Learning Model for Features Extraction of Images
NTU Journal of Engineering and Technology, 2023 Applications trend today on artificial intelligence (AI). The latest development in the field of machine learning (ML) comes from deep learning which is expected to cause a powerful improvement in the field of artificial intelligence.
Saba Qasim Hasan
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Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review [PDF]
, 2023 Head and neck tumor differential diagnosis and prognosis have always been a challenge for oral pathologists due to their similarities and complexity.
Deepak Pandiar +15 more
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A Study on Verification of CCTV Image Data through Unsupervised Learning Model of Deep Learning
Tehnički Glasnik, 2023 Abnormal behavior is called an abnormal behavior that deviates from the same normal standard as the average. The installation of public CCTVs to prevent crimes is increasing, but the crime rate is rather increasing recently.
Yangsun Lee
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Breast cancer detection from mammograms using artificial intelligence
, 2023 Breast cancer is one of the fastest-growing forms of cancer in the world today. Breast cancer is primarily found in women, and its frequency has been gaining significantly in the last few years.
Subasi, Abdulhamit +3 more
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Advances in Multimedia, 2022 The aim of this study is to improve the interactive needs of artificial intelligence in the virtual reality environment. Based on the in-depth study of the interactive needs of virtual reality, a virtual reality interactive glove based on nine-axis ...
Yi Wang, Junhai Sun
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Deep Learning Techniques for Meta-Analysis in Artificial Intelligence
, 2023 This paper presents an exploration of deep learning techniques for meta-analysis in the field of artificial intelligence. Meta-analysis is a valuable methodology for synthesizing and analyzing findings across multiple studies, enabling researchers to ...
Kyldo Jsowd
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Emerging Trends and Advances in the Diagnosis of Gastrointestinal Diseases
Bioscientific Review, 2023 Recently, Artificial Intelligence (AI)-based techniques, namely machine learning (ML) and deep learning (DL) have gained exceptional devotion in conducting the analysis of medical images because of their capacity to provide outstanding results that can ...
Muhammad Nouman Noor +2 more
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, 2020 The use of deep-learning-based artificial intelligence (AI) is emerging in ophthalmology, with AI-mediated differential diagnosis of neovascular age-related macular degeneration (AMD) and dry AMD a promising methodology for precise treatment strategies ...
Sun Mi Gu +6 more
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