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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 : 114
Article Submitted : 18701
Article Published : 7876
Total Authors : 20810
Total Reviewer : 757
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| Paper Title: | Medical Image Segmentation |
| Authors Name: | Sania Shaikh , Khushi Singh , Aishwarya Nagpure , Arpit Mohankar , Swati Bhatt |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_201384
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| Published Paper Id: | IJRTI2503096 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | http://doi.one/10.1729/Journal.44197 |
| Abstract: | Medical image segmentation in medical imaging plays a crucial role in helping clinicians accurately identify abnormal areas in magnetic resonance images. MRI sequences are essential for distinguishing tumors by analyzing the contrast and texture of soft tissues, making accurate segmentation. This paper focuses on presenting deep learning architectures for the automated segmentation of abnormal regions in MRI scans, with a focus on brain tumors. It incorporates ResNet50 architecture to classify the presence of a tumor, while ResUNet, VGG19-UNet, and UNet models focus on precise segmentation. The dataset used comes from The Cancer Imaging Archive (TCIA), which features MRI scans from 110 patients with lower-grade gliomas and includes manual segmentation masks for fluid-attenuated inversion recovery (FLAIR) abnormalities. Key performance metrics such as accuracy for classification and Tversky loss, Dice coefficient, and IoU for segmentation ensure the effective identification of tumor regions. |
| Keywords: | Brain tumor segmentation, Magnetic Resonance Imaging (MRI), ResNet50, ResUNet, UNet, VGG19 UNet. |
| Cite Article: | "Medical Image Segmentation", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a775-a780, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503096.pdf |
| Downloads: | 000376 |
| 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: IJRTI2503096
Registration ID:201384
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.44197
Page No: a775-a780 Country: Mumbai, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503096 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503096 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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