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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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          <name>Title</name>
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              <text>A Study of Preprocessing Techniques on Digital Microscopic Blood Smear Images to Detect Leukemia</text>
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          <name>Subject</name>
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              <text>Bilateral; Gaussian; Leukemia; Median; Noise reduction; Wiener</text>
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              <text>Digital microscopic blood smear images can get distorted due to the noise as a result of excessive staining during slide preparation or external factors during the acquisition of images. Noise in the image can affect the output of further steps in image processing and can have an impact on the accuracy of results. Hence, it is always better to denoise the image before feeding it to the automatic diagnostic system. There are many noise reduction filters available; the selection of the best filter is also very important. This paper presents a comparative study of some common spatial filters like wiener filter, bilateral filter, Gaussian filter, median filter and mean filter which are efficient in noise reduction, along with their summary and experimental results. Performing comparative analysis of result based on PSNR, SNR and MSE values, it can be determined that median filter is most suitable method for denoising digital blood smear images.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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          <name>Creator</name>
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              <text>Patil A.P.; Hiremath M.; Kavipriya K.</text>
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          <name>Source</name>
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              <text>Lecture Notes in Networks and Systems, Vol-462, pp. 275-282.</text>
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          <name>Publisher</name>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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          <name>Date</name>
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              <text>2022-01-01</text>
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          <name>Identifier</name>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-19-2211-4_24" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-2211-4_24&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135004569&amp;amp;doi=10.1007%2F978-981-19-2211-4_24&amp;amp;partnerID=40&amp;amp;md5=8b57da76c479fc1e04592fa7b64efc31" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135004569&amp;amp;doi=10.1007%2f978-981-19-2211-4_24&amp;amp;partnerID=40&amp;amp;md5=8b57da76c479fc1e04592fa7b64efc31&lt;/a&gt;</text>
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          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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              <text>Restricted Access</text>
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          <description>A related resource</description>
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              <text>ISSN: 23673370; ISBN: 978-981192210-7</text>
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          <name>Format</name>
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              <text>Online</text>
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          <name>Language</name>
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              <text>English</text>
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              <text>Conference paper</text>
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          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Patil A.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India, Department of Computer Application, CMR Institute of Technology, Bengaluru, India; Hiremath M., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Kavipriya K., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India</text>
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