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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007304

Page Number

29-45

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Title

Outcomes: Development and Execution – Hybrid Segmentation and Mammogram Classification for Detection and Prevention of Cancer

ISSN

2349-5162

Cite This Article

"Outcomes: Development and Execution – Hybrid Segmentation and Mammogram Classification for Detection and Prevention of Cancer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.29-45, July-2020, Available :http://www.jetir.org/papers/JETIR2007304.pdf

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Abstract

This fragment offering the obtained results ofthe input dataset, flow/system model, image pre-processing techniques, image feature extraction technique, machine learning, and performance evaluation metrics. The primary goal is to be classifying the breast cancer from the huge medical database based on the density level then the severity level has been observed like normal, moderate and severe. In order to identify the non-cancerous and cancerous image, we used texture and edge based segmentation approach

Key Words

Image processing techniques, extraction technique, segmentation approach.

Cite This Article

"Outcomes: Development and Execution – Hybrid Segmentation and Mammogram Classification for Detection and Prevention of Cancer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp29-45, July-2020, Available at : http://www.jetir.org/papers/JETIR2007304.pdf

Publication Details

Published Paper ID: JETIR2007304
Registration ID: 235447
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 29-45
ISSN Number: 2349-5162

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Cite This Article

"Outcomes: Development and Execution – Hybrid Segmentation and Mammogram Classification for Detection and Prevention of Cancer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp29-45, July-2020, Available at : http://www.jetir.org/papers/JETIR2007304.pdf




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