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  <doi_batch_id>aspg-3-664-1791419534</doi_batch_id>
  <timestamp>20261008003214</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Fusion: Practice and Applications</full_title>
    <abbrev_title>FPA</abbrev_title>
    <issn media_type="print">2770-0070</issn>
    <issn media_type="electronic">2692-4048</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <journal_volume>
     <volume>3</volume>
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    <issue>1</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>Ultrasound Medical Images Classification Based on Deep Learning Algorithms: A Review</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Fairoz Q.</given_name>
      <surname>Kareem</surname>
      <affiliations>
       <institution>
        <institution_name>IT Department. Technical College of Informatics – Akre, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Adnan Mohsin</given_name>
      <surname>Abdulazeez</surname>
      <affiliations>
       <institution>
        <institution_name>Computer Engineering, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>With the development of technology and smart devices in the medical field, the computer system has become an essential part of this development to learn devices in the medical field. One of the learning methods is deep learning (DL), which is a branch of machine learning (ML). The deep learning approach has been used in this field because it is one of the modern methods of obtaining accurate results through its algorithms, and among these algorithms that are used in this field are convolutional neural networks (CNN) and recurrent neural networks (RNN). In this paper we reviewed what have researchers have done in their researches to solve fetal problems, then summarize and carefully discuss the applications in different tasks identified for segmentation and classification of ultrasound images. Finally, this study discussed the potential challenges and directions for applying deep learning in ultrasound image analysis.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <pages>
     <first_page>29</first_page>
     <last_page>42</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">664</item_number>
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     <doi>10.54216/FPA.030102</doi>
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