Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants

Immagulate I.; Vijaya M. S.

doi:doi:10.11648/j.ijmi.20150302.15

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Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants

Immagulate I., Vijaya M. S.

Published in International Journal of Medical Imaging (Volume 3, Issue 2)

Received: 25 February 2015 Accepted: 12 March 2015 Published: 18 March 2015

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Abstract

Skin cancer is the growth of uncontrolled abnormal skin cells. There are two main types of skin cancers such as Melanoma and Non-Melanoma. The main objective of this research work is to focus on Non-Melanoma skin cancers and classify the types of it.The classification of non melanoma skin cancers is automated using machine learning approach and the model is built to predict the type of disease accurately using support vector machine and its variants. Various experiments have been carried out with skin lesion images and the results are analyzed.

Published in	International Journal of Medical Imaging (Volume 3, Issue 2)
DOI	10.11648/j.ijmi.20150302.15
Page(s)	34-40
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), 2015. Published by Science Publishing Group

Keywords

Classification, Machine Learning, Prediction, Support Vector Machine, Training

References

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APA Style

Immagulate I., Vijaya M. S. (2015). Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants. International Journal of Medical Imaging, 3(2), 34-40. https://doi.org/10.11648/j.ijmi.20150302.15

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ACS Style

Immagulate I.; Vijaya M. S. Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants. Int. J. Med. Imaging 2015, 3(2), 34-40. doi: 10.11648/j.ijmi.20150302.15

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AMA Style

Immagulate I., Vijaya M. S. Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants. Int J Med Imaging. 2015;3(2):34-40. doi: 10.11648/j.ijmi.20150302.15

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@article{10.11648/j.ijmi.20150302.15,
  author = {Immagulate I. and Vijaya M. S.},
  title = {Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants},
  journal = {International Journal of Medical Imaging},
  volume = {3},
  number = {2},
  pages = {34-40},
  doi = {10.11648/j.ijmi.20150302.15},
  url = {https://doi.org/10.11648/j.ijmi.20150302.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20150302.15},
  abstract = {Skin cancer is the growth of uncontrolled abnormal skin cells. There are two main types of skin cancers such as Melanoma and Non-Melanoma. The main objective of this research work is to focus on Non-Melanoma skin cancers and classify the types of it.The classification of non melanoma skin cancers is automated using machine learning approach and the model is built to predict the type of disease accurately using support vector machine and its variants. Various experiments have been carried out with skin lesion images and the results are analyzed.},
 year = {2015}
}

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TY  - JOUR
T1  - Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants
AU  - Immagulate I.
AU  - Vijaya M. S.
Y1  - 2015/03/18
PY  - 2015
N1  - https://doi.org/10.11648/j.ijmi.20150302.15
DO  - 10.11648/j.ijmi.20150302.15
T2  - International Journal of Medical Imaging
JF  - International Journal of Medical Imaging
JO  - International Journal of Medical Imaging
SP  - 34
EP  - 40
PB  - Science Publishing Group
SN  - 2330-832X
UR  - https://doi.org/10.11648/j.ijmi.20150302.15
AB  - Skin cancer is the growth of uncontrolled abnormal skin cells. There are two main types of skin cancers such as Melanoma and Non-Melanoma. The main objective of this research work is to focus on Non-Melanoma skin cancers and classify the types of it.The classification of non melanoma skin cancers is automated using machine learning approach and the model is built to predict the type of disease accurately using support vector machine and its variants. Various experiments have been carried out with skin lesion images and the results are analyzed.
VL  - 3
IS  - 2
ER  -

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Author Information

Immagulate I.

PSGR Krishnammal College for Women, Coimbatore, India
Vijaya M. S.

PSGR Krishnammal College for Women, Coimbatore, India

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APA Style

Immagulate I., Vijaya M. S. (2015). Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants. International Journal of Medical Imaging, 3(2), 34-40. https://doi.org/10.11648/j.ijmi.20150302.15

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ACS Style

Immagulate I.; Vijaya M. S. Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants. Int. J. Med. Imaging 2015, 3(2), 34-40. doi: 10.11648/j.ijmi.20150302.15

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AMA Style

Immagulate I., Vijaya M. S. Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants. Int J Med Imaging. 2015;3(2):34-40. doi: 10.11648/j.ijmi.20150302.15

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@article{10.11648/j.ijmi.20150302.15,
  author = {Immagulate I. and Vijaya M. S.},
  title = {Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants},
  journal = {International Journal of Medical Imaging},
  volume = {3},
  number = {2},
  pages = {34-40},
  doi = {10.11648/j.ijmi.20150302.15},
  url = {https://doi.org/10.11648/j.ijmi.20150302.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20150302.15},
  abstract = {Skin cancer is the growth of uncontrolled abnormal skin cells. There are two main types of skin cancers such as Melanoma and Non-Melanoma. The main objective of this research work is to focus on Non-Melanoma skin cancers and classify the types of it.The classification of non melanoma skin cancers is automated using machine learning approach and the model is built to predict the type of disease accurately using support vector machine and its variants. Various experiments have been carried out with skin lesion images and the results are analyzed.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants
AU  - Immagulate I.
AU  - Vijaya M. S.
Y1  - 2015/03/18
PY  - 2015
N1  - https://doi.org/10.11648/j.ijmi.20150302.15
DO  - 10.11648/j.ijmi.20150302.15
T2  - International Journal of Medical Imaging
JF  - International Journal of Medical Imaging
JO  - International Journal of Medical Imaging
SP  - 34
EP  - 40
PB  - Science Publishing Group
SN  - 2330-832X
UR  - https://doi.org/10.11648/j.ijmi.20150302.15
AB  - Skin cancer is the growth of uncontrolled abnormal skin cells. There are two main types of skin cancers such as Melanoma and Non-Melanoma. The main objective of this research work is to focus on Non-Melanoma skin cancers and classify the types of it.The classification of non melanoma skin cancers is automated using machine learning approach and the model is built to predict the type of disease accurately using support vector machine and its variants. Various experiments have been carried out with skin lesion images and the results are analyzed.
VL  - 3
IS  - 2
ER  -

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