UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2204772


Registration ID:
401370

Page Number

h532-h536

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Title

LUNG CANCER NODULE DETECTION USING IMAGE PROCESSING

Abstract

: Lung cancer is one amongst the foremost deadly diseases within the world. The recent estimates provided by the World Health Organization (WHO) says that around 7.6 million deaths worldwide each year are due to carcinoma. Moreover, humanity because of cancer is imagined to continue rising, to become around 17 million worldwide in 2030. Discovering carcinoma within the early stage is the only method for its cure. Different methods are available for diagnosis of carcinoma, namely, MRI, isotope, X-ray and CT. CT scan image don't seem to be easy to know, but using CNN with Image Segmentation is a straightforward approach to detect carcinoma. Convolutional neural network (CNN) is one of of the deep structured algorithms widely applied to investigate the flexibility to visualize and extract the hidden texture features of image datasets. This study aims to automatically extract the self-learned features using an end-to-end learning CNN and compares the results with the traditional state-of-art and traditional computer-aided diagnosis system’s performance.

Key Words

Image processing; Neural Networks; Feature Extraction; Segmentation; Preprocessing.

Cite This Article

"LUNG CANCER NODULE DETECTION USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h532-h536, April-2022, Available :http://www.jetir.org/papers/JETIR2204772.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"LUNG CANCER NODULE DETECTION USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph532-h536, April-2022, Available at : http://www.jetir.org/papers/JETIR2204772.pdf

Publication Details

Published Paper ID: JETIR2204772
Registration ID: 401370
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: h532-h536
Country: Lucknow, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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