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Title: :  A Review of The Applications and Challenges in Computer Vision in Medical Imaging
PaperId: :  25390
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 6 2024
DUI:    16.0415/IJARIIE-25390
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Raj MehtaPoornima Institute of Engineering and Technology
Mohnish SachdevaPoornima Institute of Engineering and Technology

Abstract

Artificial Intelligence
Computer Vision, Medical Imaging, Artificial Intelligence (AI), Deep Learning, Image Classification, Image Segmentation, Anomaly Detection, Explainable AI (XAI), Transfer Learning, Multi-Modal Imaging, Data Scarcity, Model Generalization, Ethical AI, Healthcare Applications, Clinical Integration, AI Frameworks, Data Privacy
The application of computer vision in medical imaging has gained tremendous momentum over the past decade, transforming the landscape of healthcare. By leveraging advanced algorithms and AI-driven techniques, computer vision has enabled significant breakthroughs in diagnostics, treatment planning, and surgical interventions. It has streamlined the analysis of complex medical images, reduced diagnostic time and improved accuracy, ultimately contributing to better patient outcomes. From the detection of abnormalities to the segmentation of anatomical structures, the integration of AI in medical imaging has expanded the possibilities of precision medicine and personalized care. This paper explores the various applications, methodologies, and challenges associated with implementing computer vision in medical imaging. Key applications include image classification, which enables accurate diagnosis of diseases such as cancer, segmentation, which delineates critical anatomical structures for treatment planning, and anomaly detection, which aids in identifying subtle pathological changes that might otherwise go unnoticed. These techniques have shown tremendous potential in addressing healthcare challenges, particularly in areas requiring rapid and accurate image analysis. However, the integration of computer vision into medical imaging is not without challenges. Data scarcity remains a significant issue, as the development of robust AI models requires large, high-quality annotated datasets that are often difficult to obtain. Model generalization across diverse datasets and imaging conditions also presents hurdles, limiting the scalability of these solutions. Furthermore, ethical considerations such as patient data privacy and the explainability of AI decisions pose barriers to widespread adoption. This paper also discusses potential solutions to these challenges, including advancements in AI frameworks, the use of transfer learning to mitigate data constraints, and the development of explainable AI to build trust among clinicians and patients. By addressing these barriers, computer vision can revolutionize medical imaging, paving the way for a future where AI enhances every aspect of healthcare.

Citations

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IJARIIE Raj Mehta, and Mohnish Sachdeva. "A Review of The Applications and Challenges in Computer Vision in Medical Imaging" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 6 2024 Page 1052-1060
MLA Raj Mehta, and Mohnish Sachdeva. "A Review of The Applications and Challenges in Computer Vision in Medical Imaging." International Journal Of Advance Research And Innovative Ideas In Education 10.6(2024) : 1052-1060.
APA Raj Mehta, & Mohnish Sachdeva. (2024). A Review of The Applications and Challenges in Computer Vision in Medical Imaging. International Journal Of Advance Research And Innovative Ideas In Education, 10(6), 1052-1060.
Chicago Raj Mehta, and Mohnish Sachdeva. "A Review of The Applications and Challenges in Computer Vision in Medical Imaging." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 6 (2024) : 1052-1060.
Oxford Raj Mehta, and Mohnish Sachdeva. 'A Review of The Applications and Challenges in Computer Vision in Medical Imaging', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, 2024, p. 1052-1060. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Review_of_The_Applications_and_Challenges_in_Computer_Vision_in_Medical_Imaging_ijariie25390.pdf (Accessed : ).
Harvard Raj Mehta, and Mohnish Sachdeva. (2024) 'A Review of The Applications and Challenges in Computer Vision in Medical Imaging', International Journal Of Advance Research And Innovative Ideas In Education, 10(6), pp. 1052-1060IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Review_of_The_Applications_and_Challenges_in_Computer_Vision_in_Medical_Imaging_ijariie25390.pdf (Accessed : )
IEEE Raj Mehta, and Mohnish Sachdeva, "A Review of The Applications and Challenges in Computer Vision in Medical Imaging," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, pp. 1052-1060, Nov-Dec 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Review_of_The_Applications_and_Challenges_in_Computer_Vision_in_Medical_Imaging_ijariie25390.pdf [Accessed : ].
Turabian Raj Mehta, and Mohnish Sachdeva. "A Review of The Applications and Challenges in Computer Vision in Medical Imaging." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 6 ().
Vancouver Raj Mehta, and Mohnish Sachdeva. A Review of The Applications and Challenges in Computer Vision in Medical Imaging. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(6) : 1052-1060. Available from: https://ijariie.com/AdminUploadPdf/A_Review_of_The_Applications_and_Challenges_in_Computer_Vision_in_Medical_Imaging_ijariie25390.pdf
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