<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING</title>
<title_fa></title_fa>
<short_title>IJEEE</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijeee.iust.ac.ir</web_url>
<journal_hbi_system_id>18</journal_hbi_system_id>
<journal_hbi_system_user>agent2</journal_hbi_system_user>
<journal_id_issn>1735-2827</journal_id_issn>
<journal_id_issn_online>1735-2827</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi></journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1403</year>
	<month>8</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2024</year>
	<month>11</month>
	<day>1</day>
</pubdate>
<volume>20</volume>
<number>4</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Tuberculosis Classification using SVM and Modified CNN</title>
	<subject_fa>4-Biomedical Signal Processing</subject_fa>
	<subject>Biomedical Signal Processing</subject>
	<content_type_fa>Closed - 2024 Special Issue on Applications of Deep Learning in Electrical and Electronic Engineering</content_type_fa>
	<content_type>Closed - 2024 Special Issue on Applications of Deep Learning in Electrical and Electronic Engineerin</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;span style=&quot;font-size:10.0pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;Tuberculosis (TB) is a dangerous disease caused by mycobacterium leads to mortality. Early detection and identification of tuberculosis is crucial for managing tuberculosis infections. Recent technological improvements use a machine learning-based SVM and Modified CNN to identify specific diseases more accurately, as demonstrated in this research. The modified CNN&amp;#39;s improved feature extraction and classification accuracy are maintained throughout construction. To obtain good performance a TBX11K&amp;nbsp;publicly accessible dataset is used it consists of 11000 images of which 4600 chest x-ray (CXR) images are considered in this research, and the suggested model is verified. This approach significantly increases the accuracy of categorizing TB symptoms. &amp;nbsp;The PCA in this system locates the elements and extracts a large amount of variance technique applied to the full chest radiograph for pulmonary tuberculosis identification accuracy using SVM is 93.14% and modified CNN &lt;a name=&quot;_Hlk183161040&quot;&gt;96.72% &lt;/a&gt;respectively. When it comes to helping radiologists diagnose patients and public health professionals screen for tuberculosis in places where the disease is endemic, the proposed system SVM and modified CNN perform better than existing methods.&lt;/span&gt;&lt;/span&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Tuberculosis, SVM, Modified CNN</keyword>
	<start_page>126</start_page>
	<end_page>133</end_page>
	<web_url>http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5354-2&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>SRINIVAS</first_name>
	<middle_name></middle_name>
	<last_name>BABU N</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>srinivasbn.nhce@newhorizonindia.edu</email>
	<code>1800319475328460014916</code>
	<orcid>1800319475328460014916</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bangalore, Karnataka India.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>SHASHIKIRAN</first_name>
	<middle_name></middle_name>
	<last_name>S</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>shashikirans.nhce@newhorizonindia.edu</email>
	<code>1800319475328460014917</code>
	<orcid>1800319475328460014917</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bangalore, Karnataka India.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>M</first_name>
	<middle_name></middle_name>
	<last_name>JAYANTHI</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>jayanthim@newhorizonindia.edu</email>
	<code>1800319475328460014918</code>
	<orcid>1800319475328460014918</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bangalore, Karnataka India.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Rajani</first_name>
	<middle_name></middle_name>
	<last_name>N</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>rajani.n@nmit.ac.in</email>
	<code>1800319475328460014919</code>
	<orcid>1800319475328460014919</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>K M</first_name>
	<middle_name></middle_name>
	<last_name>PALANISWAMY</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>drpalaniswamy@drttit.edu.in</email>
	<code>1800319475328460014920</code>
	<orcid>1800319475328460014920</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Electronics and Communication Engineering, Dr T Thimmaiah Institute of Technology, KGF, Karnataka, India.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>M R</first_name>
	<middle_name></middle_name>
	<last_name>KUSHALATHA</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>kushalatha.mr@nmit.ac.in</email>
	<code>1800319475328460014921</code>
	<orcid>1800319475328460014921</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
