machine learning

1. A REVIEW OF CNN APPLICATIONS IN
MEDICAL IMAGE ANALYSIS
By Kubra uyar2
WORD COUNT 2212 TIME SUBMITTED 19-DEC-2022 10:03AM
PAPER ID 94146291

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47

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43
45

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48

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12
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14
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32

10. 51%
SIMILARITY INDEX
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A REVIEW OF CNN APPLICATIONS IN MEDICAL IMAGE
ANALYSIS
ORIGINALITY REPORT
PRIMARY SOURCES
Manar Aljabri, Manal AlGhamdi. "A Review on the
Use of Deep Learning for Medical Images
Segmentation", Neurocomputing, 2022
Crossref
web.archive.org
Internet
ir.vanderbilt.edu
Internet
www.hindawi.com
Internet
eprints.utm.my
Internet
repository.tudelft.nl
Internet
unsworks.unsw.edu.au
Internet
Shima Nofallah, Mojgan Mokhtari, Wenjun Wu,
Sachin Mehta et al. "Segmenting Skin Biopsy Images
with Coarse and Sparse Annotations using U-Net", Journal of
Digital Imaging, 2022
128 words — 6%
88 words — 4%
66 words — 3%
52 words — 2%
40 words — 2%
36 words — 2%
32 words — 1%
30 words — 1%

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Crossref
dr.ntu.edu.sg
Internet
Alaa Badarneh, Isam Abu-Qasmeih, Mwaffaq Otoom,
Mohammad A. Alzubaidi. "Semi-automated spine
and intervertebral disk detection and segmentation from whole
spine MR images", Informatics in Medicine Unlocked, 2021
Crossref
Shaolong Chen, Lijie Zhong, Changzhen Qiu, Zhiyong
Zhang, Xiaodong Zhang. "Transformer-based
multilevel region and edge aggregation network for magnetic
resonance image segmentation", Computers in Biology and
Medicine, 2022
Crossref
download.atlantis-press.com
Internet
Ashnil Kumar, Lei Bi, Jinman Kim, David Dagan Feng.
"Machine learning in medical imaging", Elsevier BV,
2020
Crossref
research-information.bris.ac.uk
Internet
researchonline.ljmu.ac.uk
Internet
Hossein Dehghan, Ali A. Pouyan, Hamid Hassanpour.
"SVM-based diagnosis of the Alzheimer's disease
using 18F-FDG PET with Fisher discriminant rate", 2011 18th
Iranian Conference of Biomedical Engineering (ICBME), 2011
Crossref
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peerj.com
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www.ijraset.com
Internet
www.ncbi.nlm.nih.gov
Internet
8d21badd-e5ef-47f5-8634-
d93b6560409e.filesusr.com
Internet
António Miguel Ferreira. "Machine learning – coming
soon to a cath lab near you? Or ‘don’t hold your
breath’?", Revista Portuguesa de Cardiologia, 2022
Crossref
mobt3ath.com
Internet
www.ejournals.eu
Internet
Yu Zhao, Ke Zeng, Yiyuan Zhao, Parmeet Bhatia,
Mahesh Ranganath, Muhammed Labeeb Kozhikkavil,
Chen Li, Gerardo Hermosillo. "Deep Learning Solution for
Medical Image Localization and Orientation Detection", Medical
Image Analysis, 2022
Crossref
Yang Chen, Rongshuang Fan, Muhammad Bilal,
Xiucheng Yang, Jingxue Wang, Wei Li. "Multilevel
Cloud Detection for High-Resolution Remote Sensing Imagery
Using Multiple Convolutional Neural Networks", ISPRS
International Journal of Geo-Information, 2018
Crossref
26 words — 1%
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www.cell.com
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aaltodoc.aalto.fi
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repository.pnj.ac.id
Internet
www.arxiv-vanity.com
Internet
www.soa.org
Internet
Mehmet Sevi, Ilhan Aydin. "Detecting Flaws on
Railways Using Semantic Segmentation", 2021
International Conference on Information Technology (ICIT),
2021
Crossref
indjst.org
Internet
Zeynep Akin, Ahmet Sayar. "Challenges in
Determining the Depth in 2-D Images", 2022
International Conference on INnovations in Intelligent SysTems
and Applications (INISTA), 2022
Crossref
analyticsindiamag.com
Internet
G. Kerem, B. Fatih. "Time Series Forecast
Modeling of Vulnerabilities in the Android
Operating System Using ARIMA and Deep Learning Methods",
Sustainable Computing: Informatics and Systems, 2021
19 words — 1%
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11 words — < 1%

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epdf.pub
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mspsss.org.ua
Internet
researcharchive.vuw.ac.nz
Internet
Abasiama Godwin Akpan, Flavious Bobuin Nkubli,
Victoria Nnaemeka Ezeano, Anayo Christian
Okwor et al. "XAI for medical image segmentation in medical
decision support systems", Institution of Engineering and
Technology (IET), 2022
Crossref
ebin.pub
Internet
Hongyu Hou, Qunchao Jin, Guixu Zhang, Zhi Li. "CT
image quality enhancement via a dual-channel
neural network with jointing denoising and super-resolution",
Neurocomputing, 2022
Crossref
"Biomedical Data Mining for Information Retrieval",
Wiley, 2021
Crossref
"Deep Learning Techniques for Biomedical and
Health Informatics", Springer Science and Business
Media LLC, 2020
Crossref
Jialin Shi, Ji Wu. "Chapter 63 Distilling Effective
Supervision for Robust Medical Image
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EXCLUDE QUOTES OFF
EXCLUDE BIBLIOGRAPHY OFF
EXCLUDE SOURCES OFF
EXCLUDE MATCHES OFF
Segmentation with Noisy Labels", Springer Science and
Business Media LLC, 2021
Crossref
www.nature.com
Internet
www.researchsquare.com
Internet
"Medical Image Computing and Computer-Assisted
Intervention − MICCAI 2017", Springer Nature,
2017
Crossref
Spampinato, C., S. Palazzo, D. Giordano, M.
Aldinucci, and R. Leonardi. "Deep learning for
automated skeletal bone age assessment in X-ray images",
Medical Image Analysis, 2017.
Crossref
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