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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 : 115
Article Submitted : 19455
Article Published : 8041
Total Authors : 21252
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| Paper Title: | Design and Development of Novel Biomechanical Devices for Medical Applications |
| Authors Name: | Moshin Mulla |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_205739
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| Published Paper Id: | IJRTI2202020 |
| Published In: | Volume 7 Issue 2, February-2022 |
| DOI: | |
| Abstract: | The application of deep learning techniques in medical image classification has revolutionized healthcare diagnostics, but challenges remain in terms of model transparency and interpretability. Despite the high performance of deep learning models, their "black-box" nature often limits their clinical adoption, as healthcare professionals require an understanding of the rationale behind automated predictions. To address this, we propose a unified framework that integrates model-agnostic explainability techniques such as Shapley Additive Explanations (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) with deep learning models for medical image classification. This approach not only enhances the accuracy of the model by utilizing state-of-the-art convolutional neural network (CNN) architectures but also improves transparency by providing interpretable, human-understandable explanations for the model's decisions. The proposed framework is evaluated using various medical image datasets, including X-rays and MRIs, and is compared against traditional deep learning models without explainability methods. Results demonstrate that the integrated approach achieves superior classification accuracy while offering critical interpretability, making it more suitable for deployment in clinical settings. This work bridges the gap between high-performance deep learning models and the need for model transparency, promoting trust in AI-driven medical image analysis tools and enhancing their practical application in real-world healthcare scenarios. |
| Keywords: | Biomechanical Devices, Medical Applications, Intelligent Control Systems, Rehabilitation Engineering, Real-Time Monitoring. |
| Cite Article: | "Design and Development of Novel Biomechanical Devices for Medical Applications", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 2, page no.130-134, February-2022, Available :http://www.ijrti.org/papers/IJRTI2202020.pdf |
| Downloads: | 0003444 |
| 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: IJRTI2202020
Registration ID:205739
Published In: Volume 7 Issue 2, February-2022
DOI (Digital Object Identifier):
Page No: 130-134 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2202020 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2202020 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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