UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

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

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2204438


Registration ID:
400823

Page Number

e279-e281

Share This Article


Jetir RMS

Title

Detection and Segmentation of Corona Virus Infected Region of Lung in CT images by using Deep learning approach

Abstract

Abstract: This research presents an application of lung segmentation of an internal organ from computed tomography images using an artificial intelligence development approach. The deep convolutional neural network was used to perform semantic segmentation of an internal organ by training through different computed tomography image slices with a medical dataset that has abnormal physiology. Coronavirus disease infected on the lung datasets were used as a study in this research with adjusted deep fully convolutional neural network compared with an architecture of U-Net model that was used to implement the experimental process. However, this research will aim to develop a deep learning model as an image processing to use with medical image data to reduce the time in a part of treatment planning.

Key Words

Deep learning, Image Segmentation, Computational modeling, Computed tomography, Lung, Convolutional neural networks

Cite This Article

"Detection and Segmentation of Corona Virus Infected Region of Lung in CT images by using Deep learning approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.e279-e281, April-2022, Available :http://www.jetir.org/papers/JETIR2204438.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

"Detection and Segmentation of Corona Virus Infected Region of Lung in CT images by using Deep learning approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppe279-e281, April-2022, Available at : http://www.jetir.org/papers/JETIR2204438.pdf

Publication Details

Published Paper ID: JETIR2204438
Registration ID: 400823
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: e279-e281
Country: Bangalore, KARNATAKA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000233

Print This Page

Current Call For Paper

Jetir RMS