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Title: :  PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA
PaperId: :  22758
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22758
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Maddineni DeekshithaVasireddy Venkatadri Institute of Technology
Mandla PriyankaVasireddy Venkatadri Institute of Technology
Mandru DennisriVasireddy Venkatadri Institute of Technology
Nidamanuri MounikaVasireddy Venkatadri Institute of Technology
Shaik RiyazuddienVasireddy Venkatadri Institute of Technology

Abstract

Deep Learning
CNN, VGG16, VGG19, Tumor Cells, Data Pre-Processing.
In the domain of medical imaging the accurate identification of brain tumors from MRI scans stands as a paramount challenge essential for timely intervention and patient care this study introduces a novel methodology employing deep learning techniques specifically employing the VGG19 architecture to achieve precise detection of brain tumors from MRI data leveraging the inherent capabilities of convolutional neural networks our model autonomously learns intricate patterns and features from the MRI images facilitating robust discrimination between tumor and non-tumor regions through extensive experimentation across diverse datasets encompassing various tumor characteristics and imaging variations our proposed approach consistently demonstrates superior performance compared to conventional methods underscoring its efficacy in real-world clinical settings moreover our investigation highlights the versatility and adaptability of the proposed model through the utilization of transfer learning techniques enabling seamless integration with different imaging protocols and datasets with minimal retraining requirements this adaptability not only enhances the scalability of our approach but also fosters its applicability across various healthcare environments promising significant advancements in the efficiency and accuracy of brain tumor diagnosis ultimately the outcomes of this research not only propel the frontier of medical image analysis but also hold profound implications for improving patient care by enabling early and precise detection of brain tumors thereby empowering healthcare practitioners with invaluable insights for tailored treatment strategies.

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IJARIIE Maddineni Deekshitha, Mandla Priyanka, Mandru Dennisri, Nidamanuri Mounika, and Shaik Riyazuddien. "PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 414-423
MLA Maddineni Deekshitha, Mandla Priyanka, Mandru Dennisri, Nidamanuri Mounika, and Shaik Riyazuddien. "PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 414-423.
APA Maddineni Deekshitha, Mandla Priyanka, Mandru Dennisri, Nidamanuri Mounika, & Shaik Riyazuddien. (2024). PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 414-423.
Chicago Maddineni Deekshitha, Mandla Priyanka, Mandru Dennisri, Nidamanuri Mounika, and Shaik Riyazuddien. "PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 414-423.
Oxford Maddineni Deekshitha, Mandla Priyanka, Mandru Dennisri, Nidamanuri Mounika, and Shaik Riyazuddien. 'PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 414-423. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/PRECISION_BRAIN_TUMOR_DIAGNOSIS_THROUGH_DEEP_LEARNING_ON_MRI_DATA_ijariie22758.pdf (Accessed : ).
Harvard Maddineni Deekshitha, Mandla Priyanka, Mandru Dennisri, Nidamanuri Mounika, and Shaik Riyazuddien. (2024) 'PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 414-423IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/PRECISION_BRAIN_TUMOR_DIAGNOSIS_THROUGH_DEEP_LEARNING_ON_MRI_DATA_ijariie22758.pdf (Accessed : )
IEEE Maddineni Deekshitha, Mandla Priyanka, Mandru Dennisri, Nidamanuri Mounika, and Shaik Riyazuddien, "PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 414-423, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/PRECISION_BRAIN_TUMOR_DIAGNOSIS_THROUGH_DEEP_LEARNING_ON_MRI_DATA_ijariie22758.pdf [Accessed : ].
Turabian Maddineni Deekshitha, Mandla Priyanka, Mandru Dennisri, Nidamanuri Mounika, and Shaik Riyazuddien. "PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Maddineni Deekshitha, Mandla Priyanka, Mandru Dennisri, Nidamanuri Mounika, and Shaik Riyazuddien. PRECISION BRAIN TUMOR DIAGNOSIS THROUGH DEEP LEARNING ON MRI DATA. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 414-423. Available from: http://ijariie.com/AdminUploadPdf/PRECISION_BRAIN_TUMOR_DIAGNOSIS_THROUGH_DEEP_LEARNING_ON_MRI_DATA_ijariie22758.pdf
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