Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review

Satish Bansal

doi:doi:10.11648/j.bsi.20210604.13

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Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review

Satish Bansal

Published in Biomedical Statistics and Informatics (Volume 6, Issue 4)

Received: 15 March 2021 Accepted: 16 December 2021 Published: 29 December 2021

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Abstract

Machine learning plays a very vital role in computer science. It is a part of artificial intelligence, which provides many advantages like automated cars, speech recognition, medical fields, efficient web search, etc. Machine learning algorithms are used in analysis of digital images like X-Ray, Ultrasound, Computed Tomography (CT), and Magnetic Resonance Imaging (MRI) for finding diseases. There are several diseases like brain tumor, Diabetes, liver cancer, heart disease etc. use medical modalities like MRI Image, CT scan image. Basically these images use by many research for analysis and characterization, which is useful for doctor to detect cancer or specific disease in early stage then necessary action take place on right time and also take very less cost for patients. Medical Images uses Machine Learning (ML) algorithms to develop predictive model, which plays a very important role for detection of different diseases such as heart attack, diabetes, liver, dengue and skin diseases. This review paper gives attention towards analysis and detection of diseases using machine learning algorithms in medical image processing. The paper focus on supervised learning algorithm applies on medical image for detection of particular disease. The best result can be found by applying deep learning or convolutional neural network (CNN) on medical images.

Published in	Biomedical Statistics and Informatics (Volume 6, Issue 4)
DOI	10.11648/j.bsi.20210604.13
Page(s)	84-88
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Machine Learning, Medical Images, Image Processing

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Satish Bansal. (2021). Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review. Biomedical Statistics and Informatics, 6(4), 84-88. https://doi.org/10.11648/j.bsi.20210604.13

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Satish Bansal. Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review. Biomed. Stat. Inform. 2021, 6(4), 84-88. doi: 10.11648/j.bsi.20210604.13

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Satish Bansal. Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review. Biomed Stat Inform. 2021;6(4):84-88. doi: 10.11648/j.bsi.20210604.13

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@article{10.11648/j.bsi.20210604.13,
  author = {Satish Bansal},
  title = {Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review},
  journal = {Biomedical Statistics and Informatics},
  volume = {6},
  number = {4},
  pages = {84-88},
  doi = {10.11648/j.bsi.20210604.13},
  url = {https://doi.org/10.11648/j.bsi.20210604.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20210604.13},
  abstract = {Machine learning plays a very vital role in computer science. It is a part of artificial intelligence, which provides many advantages like automated cars, speech recognition, medical fields, efficient web search, etc. Machine learning algorithms are used in analysis of digital images like X-Ray, Ultrasound, Computed Tomography (CT), and Magnetic Resonance Imaging (MRI) for finding diseases. There are several diseases like brain tumor, Diabetes, liver cancer, heart disease etc. use medical modalities like MRI Image, CT scan image. Basically these images use by many research for analysis and characterization, which is useful for doctor to detect cancer or specific disease in early stage then necessary action take place on right time and also take very less cost for patients. Medical Images uses Machine Learning (ML) algorithms to develop predictive model, which plays a very important role for detection of different diseases such as heart attack, diabetes, liver, dengue and skin diseases. This review paper gives attention towards analysis and detection of diseases using machine learning algorithms in medical image processing. The paper focus on supervised learning algorithm applies on medical image for detection of particular disease. The best result can be found by applying deep learning or convolutional neural network (CNN) on medical images.},
 year = {2021}
}

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TY - JOUR
T1 - Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review
AU - Satish Bansal
Y1 - 2021/12/29
PY - 2021
N1 - https://doi.org/10.11648/j.bsi.20210604.13
DO - 10.11648/j.bsi.20210604.13
T2 - Biomedical Statistics and Informatics
JF - Biomedical Statistics and Informatics
JO - Biomedical Statistics and Informatics
SP - 84
EP - 88
PB - Science Publishing Group
SN - 2578-8728
UR - https://doi.org/10.11648/j.bsi.20210604.13
AB - Machine learning plays a very vital role in computer science. It is a part of artificial intelligence, which provides many advantages like automated cars, speech recognition, medical fields, efficient web search, etc. Machine learning algorithms are used in analysis of digital images like X-Ray, Ultrasound, Computed Tomography (CT), and Magnetic Resonance Imaging (MRI) for finding diseases. There are several diseases like brain tumor, Diabetes, liver cancer, heart disease etc. use medical modalities like MRI Image, CT scan image. Basically these images use by many research for analysis and characterization, which is useful for doctor to detect cancer or specific disease in early stage then necessary action take place on right time and also take very less cost for patients. Medical Images uses Machine Learning (ML) algorithms to develop predictive model, which plays a very important role for detection of different diseases such as heart attack, diabetes, liver, dengue and skin diseases. This review paper gives attention towards analysis and detection of diseases using machine learning algorithms in medical image processing. The paper focus on supervised learning algorithm applies on medical image for detection of particular disease. The best result can be found by applying deep learning or convolutional neural network (CNN) on medical images.
VL - 6
IS - 4
ER -

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Author Information

Satish Bansal

Prestige Institute of Management & Research, Gwalior, India

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APA Style

Satish Bansal. (2021). Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review. Biomedical Statistics and Informatics, 6(4), 84-88. https://doi.org/10.11648/j.bsi.20210604.13

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ACS Style

Satish Bansal. Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review. Biomed. Stat. Inform. 2021, 6(4), 84-88. doi: 10.11648/j.bsi.20210604.13

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AMA Style

Satish Bansal. Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review. Biomed Stat Inform. 2021;6(4):84-88. doi: 10.11648/j.bsi.20210604.13

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@article{10.11648/j.bsi.20210604.13,
  author = {Satish Bansal},
  title = {Determining Disease Using Machine Learning Algorithm in Medical Image Processing: A Gentle Review},
  journal = {Biomedical Statistics and Informatics},
  volume = {6},
  number = {4},
  pages = {84-88},
  doi = {10.11648/j.bsi.20210604.13},
  url = {https://doi.org/10.11648/j.bsi.20210604.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20210604.13},
  abstract = {Machine learning plays a very vital role in computer science. It is a part of artificial intelligence, which provides many advantages like automated cars, speech recognition, medical fields, efficient web search, etc. Machine learning algorithms are used in analysis of digital images like X-Ray, Ultrasound, Computed Tomography (CT), and Magnetic Resonance Imaging (MRI) for finding diseases. There are several diseases like brain tumor, Diabetes, liver cancer, heart disease etc. use medical modalities like MRI Image, CT scan image. Basically these images use by many research for analysis and characterization, which is useful for doctor to detect cancer or specific disease in early stage then necessary action take place on right time and also take very less cost for patients. Medical Images uses Machine Learning (ML) algorithms to develop predictive model, which plays a very important role for detection of different diseases such as heart attack, diabetes, liver, dengue and skin diseases. This review paper gives attention towards analysis and detection of diseases using machine learning algorithms in medical image processing. The paper focus on supervised learning algorithm applies on medical image for detection of particular disease. The best result can be found by applying deep learning or convolutional neural network (CNN) on medical images.},
 year = {2021}
}

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