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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

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Paper Title: FracTum: Bone Fracture and Tumor Detection using YOLOv11 Model
Authors Name: Ch. Rishitha , M. Sion Kumari , Ch. Hepsibah , Ch. Deepika , D. Leelarchana
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IJRTI_201829
Published Paper Id: IJRTI2503229
Published In: Volume 10 Issue 3, March-2025
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Abstract: The increasing demand for automated medical imaging analysis has led to advancements in deep learning for precise irregularity detection. The proposed FracTum system leverages YOLOv11n, a deep learning-based multiple object detection model, to detect bone fractures and tumors in X-ray images. The model is trained using two datasets to identify and highlight affected regions using bounding boxes accurately. A Streamlit-based web interface enables seamless user interaction, allowing X-ray uploads for real-time detection. If irregularities are found, they are marked with bounding boxes; otherwise, a message indicates no detection. The system ensures efficient, accurate, and scalable medical image analysis, enhancing early diagnosis and clinical decision-making.
Keywords: Multiple-Object Detection, YOLOv11n, Fracture Detection, Tumor Detection, Deep Learning, Medical Image Analysis
Cite Article: "FracTum: Bone Fracture and Tumor Detection using YOLOv11 Model", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c172-c177, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503229.pdf
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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
Publication Details: Published Paper ID: IJRTI2503229
Registration ID:201829
Published In: Volume 10 Issue 3, March-2025
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Page No: c172-c177
Country: Visakhapatanam, Andhra Pradesh, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503229
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503229
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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