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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>Diagnosis of Osteoporosis from X-ray Images using Automated Techniques</text>
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              <text>Bone mineral density; Osteoporosis; Residual Block; Skip connections.; U-net</text>
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              <text>Osteoporosis is Bone Disease most commonly seen in aged people due to various food habits and life style habits. The bone becomes so brittle and weak which may break just from a fall. So, it is required to attend this Issue as there are various challenges faced by medical domain to identify and treat Osteoporosis. In this paper we focus on identifying and detecting osteoporosis using X-ray images using modified U-net Architecture using Residual Block and skip connections and done comparison study with existing models, as per state-of-art our model outcomes issues in existing model and obtain better accuracy.  2022 IEEE.</text>
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              <text>Dodamani P.S.; Danti A.</text>
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              <text>2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022, pp. 497-500.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/COM-IT-CON54601.2022.9850579" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/COM-IT-CON54601.2022.9850579&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137523180&amp;amp;doi=10.1109%2FCOM-IT-CON54601.2022.9850579&amp;amp;partnerID=40&amp;amp;md5=b37f1038e7f91e30eb44e9582864a0dd" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137523180&amp;amp;doi=10.1109%2fCOM-IT-CON54601.2022.9850579&amp;amp;partnerID=40&amp;amp;md5=b37f1038e7f91e30eb44e9582864a0dd&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-166549602-5</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Conference paper</text>
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              <text>Dodamani P.S., Christ University, Computer Science and Engineering, Bangalore, India; Danti A., Christ University, Computer Science and Engineering, Bangalore, India</text>
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