Showing 20 of 2,239 academic articles
Ahmet Murat Ozbayoglu, Mehmet Ugur Gudelek, Ömer Berat Sezer • Applied Soft Computing
(2020)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/j.asoc.2020.106384
Marek L. Borowiec, Rebecca B. Dikow, Paul B. Frandsen, Alexander J. McKeeken et al. • Methods in Ecology and Evolution
(2022)
Abstract Deep learning is driving recent advances behind many everyday technologies, including speech and image recognition, natural language processing and autonomous driving. It is also gaining popularity in biology, where it has been use...
OPENALEX
cc-by-nc
DOI: https://doi.org/10.1111/2041-210x.13901
Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli • IEEE Transactions on Neural Networks and Learning Systems
(2018)
Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tnnls.2018.2790388
Jae Joon Hwang, Yun‐Hoa Jung, Bong‐Hae Cho, Min-Suk Heo • Imaging Science in Dentistry
(2019)
PURPOSE: Artificial intelligence (AI), represented by deep learning, can be used for real-life problems and is applied across all sectors of society including medical and dental field. The purpose of this study is to review articles about d...
OPENALEX
cc-by-nc
DOI: https://doi.org/10.5624/isd.2019.49.1.1
PMC: 6444007
Xin‐She Yang • Elsevier eBooks
(2019)
OPENALEX
DOI: https://doi.org/10.1016/b978-0-12-817216-2.00015-6
Xinwen Liu, Huan Wang, Zongjin Li, Lang Qin • Knowledge-Based Systems
(2021)
OPENALEX
DOI: https://doi.org/10.1016/j.knosys.2021.107187
S. Suganyadevi, V. Seethalakshmi, K. Balasamy • International Journal of Multimedia Information Retrieval
(2021)
Ongoing improvements in AI, particularly concerning deep learning techniques, are assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the quickest developing field in artificial intelligence and is ef...
OPENALEX
other-oa
DOI: https://doi.org/10.1007/s13735-021-00218-1
PMC: 8417661
Siripen Pongpaichet, Boonyapat Sukosit, Chitchaya Duangtanawat, Jiramed Jamjongdamrongkit et al. • IEEE Access
(2024)
Crimes result in not only loss to individuals but also hinder national economic growth. While crime rates have been reported to decrease in developed countries, underdeveloped and developing nations still suffer from prevalent crimes, espec...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3363879
Grant Haskins, Uwe Krüger, Pingkun Yan • Machine Vision and Applications
(2020)
OPENALEX
Open Access
DOI: https://doi.org/10.1007/s00138-020-01060-x
Kwang Gi Kim • Healthcare Informatics Research
(2016)
This book offers a solution to more intuitive problems in these areas. These solutions allow computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined in terms of its relation...
OPENALEX
cc-by-nc
DOI: https://doi.org/10.4258/hir.2016.22.4.351
Charų C. Aggarwal • Springer eBooks
(2023)
OPENALEX
DOI: https://doi.org/10.1007/978-3-031-29642-0
Shengfeng Liu, Yi Wang, Xin Yang, Baiying Lei et al. • Engineering
(2019)
Ultrasound (US) has become one of the most commonly performed imaging modalities in clinical practice. It is a rapidly evolving technology with certain advantages and with unique challenges that include low imaging quality and high variabil...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.eng.2018.11.020
Julianna M. Czum • Journal of the American College of Radiology
(2020)
OPENALEX
DOI: https://doi.org/10.1016/j.jacr.2020.02.005
Sarah Webb • Nature
(2018)
OPENALEX
Open Access
DOI: https://doi.org/10.1038/d41586-018-02174-z
Beau Norgeot, Benjamin Scott Glicksberg, Atul Janardhan Butte • Nature Medicine
(2018)
OPENALEX
DOI: https://doi.org/10.1038/s41591-018-0320-3
Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni et al. • Frontiers in Cardiovascular Medicine
(2020)
Deep learning has become the most widely used approach for cardiac image segmentation in recent years. In this paper, we provide a review of over 100 cardiac image segmentation papers using deep learning, which covers common imaging modalit...
OPENALEX
cc-by
DOI: https://doi.org/10.3389/fcvm.2020.00025
PMC: 7066212
Sebastian Macaluso, David Shih • Journal of High Energy Physics
(2018)
Abstract We apply computer vision with deep learning — in the form of a convolutional neural network (CNN) — to build a highly effective boosted top tagger. Previous work (the “DeepTop” tagger of Kasieczka et al) has shown that a CNN-based ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/JHEP10(2018)121
saeedeh zebhi, Seyed Mohammad Taghi AlModaressi, Vahid Abootalebi • AUT Journal of Electrical Engineering
(2021)
In this paper, two different methods of human activity recognition based on video signals are introduced. The first method explores the effectiveness of combining feature descriptors obtained by local descriptors and artificial neural network ...
DOAJ
Open Access (DOAJ)
DOI: 10.22060/eej.2020.18517.5357
• Apple Academic Press eBooks
(2014)
OPENALEX
DOI: https://doi.org/10.1201/b17103-3
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov et al. • Nature Medicine
(2018)
OPENALEX
DOI: https://doi.org/10.1038/s41591-018-0316-z