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Title: :  BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET
PaperId: :  22784
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-22784
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Yamini ParepalliVasireddy Venkatadri Institute of Technology
Shaik Shareen ShareefVasireddy Venkatadri Institute of Technology
Sankeerthana KallamVasireddy Venkatadri Institute of Technology
Pittala Vijaya LakshmiVasireddy Venkatadri Institute of Technology

Abstract

Deep Learning
Brain tumor segmentation , Tenforflow , Keras , and U-net .
Brain tumor segmentation from magnetic resonance imaging (MRI) scans is a vital task in medical image analysis. To develop an accurate and robust brain tumor segmentation model, this project takes advantage of deep learning and the Tenforflow and keras framework. The project encompasses a series of steps, from data acquisition to model deployment, aiming to assist healthcare professionals in the diagnosis and treatment of brain tumors. The project's foundation rests on acquiring a diverse dataset of brain MRI scans, which are carefully annotated with tumor masks. For model development, the architecture is implemented using tenforflow and keras, allowing us to leverage its powerful tensor operations and GPU support for accelerated training. To ensure the model's generalization to unseen data, rigorous validation is conducted on the validation dataset. Fine-tuning of hyper parameters is performed to enhance the model's performance, balancing factors like precision and recall. The model's ultimate evaluation takes place on the test dataset, where it is assessed for its real-world performance in tumor segmentation. The developed model, trained on carefully annotated MRI scans, promises to contribute significantly to brain tumor diagnosis and treatment.

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IJARIIE Yamini Parepalli, Shaik Shareen Shareef, Sankeerthana Kallam, and Pittala Vijaya Lakshmi. "BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 645-651
MLA Yamini Parepalli, Shaik Shareen Shareef, Sankeerthana Kallam, and Pittala Vijaya Lakshmi. "BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 645-651.
APA Yamini Parepalli, Shaik Shareen Shareef, Sankeerthana Kallam, & Pittala Vijaya Lakshmi. (2024). BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 645-651.
Chicago Yamini Parepalli, Shaik Shareen Shareef, Sankeerthana Kallam, and Pittala Vijaya Lakshmi. "BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 645-651.
Oxford Yamini Parepalli, Shaik Shareen Shareef, Sankeerthana Kallam, and Pittala Vijaya Lakshmi. 'BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 645-651. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_SEGMENTATION_USING_IMPROVED_U_NET_ijariie22784.pdf (Accessed : ).
Harvard Yamini Parepalli, Shaik Shareen Shareef, Sankeerthana Kallam, and Pittala Vijaya Lakshmi. (2024) 'BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 645-651IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_SEGMENTATION_USING_IMPROVED_U_NET_ijariie22784.pdf (Accessed : )
IEEE Yamini Parepalli, Shaik Shareen Shareef, Sankeerthana Kallam, and Pittala Vijaya Lakshmi, "BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 645-651, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_SEGMENTATION_USING_IMPROVED_U_NET_ijariie22784.pdf [Accessed : ].
Turabian Yamini Parepalli, Shaik Shareen Shareef, Sankeerthana Kallam, and Pittala Vijaya Lakshmi. "BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Yamini Parepalli, Shaik Shareen Shareef, Sankeerthana Kallam, and Pittala Vijaya Lakshmi. BRAIN TUMOR SEGMENTATION USING IMPROVED U-NET. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 645-651. Available from: https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_SEGMENTATION_USING_IMPROVED_U_NET_ijariie22784.pdf
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