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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 17768
Article Published : 7665
Total Authors : 20305
Total Reviewer : 744
Total Countries : 138
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| Paper Title: | Identifying bone tumor using X-ray images |
| Authors Name: | Boddu Dinakar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186819
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| Published Paper Id: | IJRTI2306056 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | The development of technology has made it simple to employ image processing in a variety of sectors, including computer science, data science, and medicine. Extraction of information from medical images is the major goal of medical image processing.Five steps make up the methodology that numerous academics have suggested: preprocessing, edge detection, segmentation, feature extraction, and classification. The project's goal is to use X-ray images to identify tumours in their earliest stages and increase the quality and accuracy of X-ray images. The detection of fractures and the diagnosis of diseases have both made extensive use of bone X-ray pictures. For the segmentation of the spine area, the approach makes use of adaptive thresholding, morphology, and region growth. For the detection of bone lesions, a method based on the watershed model is used, and a support vector machine classifier is used for feature classification and to diagnose the affected lesions. |
| Keywords: | U-net Model, watershed algorithm, Classification, X-ray images. |
| Cite Article: | "Identifying bone tumor using X-ray images", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.348 - 352, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306056.pdf |
| Downloads: | 000204995 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2306056
Registration ID:186819
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 348 - 352 Country: Hyderabad, telangana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306056 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306056 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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