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Title: :  ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING
PaperId: :  22817
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-22817
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
BANDLA LAKSHMI MONISHAVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
ILAVARAPU PRANAYAVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
CHEERALA BHARGAVIVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
DEVINENI TUSHARAVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
BUDATI MANIKANTHVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY

Abstract

DEEP LEARNING
Deep Learning, Breast cancer disease type prediction, Public Website, and User-friendly interface
In response to the 2022 National Breast Cancer Coalition (NBCC) report revealing nearly 297,790 new cases of invasive breast cancer in women and 2,800 in men, we propose an innovative computational framework for predicting breast cancer subtypes using magnetic resonance imaging (MRI). Our approach involves integrating MRI image profiles across various subtypes and stages of breast cancer to unveil robust patterns associated with Basal-like, Luminal A, Luminal B, and HER2-enriched subtypes. Through advanced computational methodologies, our algorithm aims to achieve highly accurate subtype classification, promising to enhance our understanding of breast cancer heterogeneity and facilitate tailored treatment strategies. The anticipated outcomes of our research are twofold. Firstly, we expect to accurately identify breast cancer subtypes, thereby enabling more targeted and personalized treatment approaches. Secondly, by comprehensively analyzing MRI data, we aim to uncover potential biomarkers that could revolutionize breast cancer diagnosis and treatment efficacy. This study holds significant promise for improving patient outcomes and quality of life by providing clinicians with invaluable insights into breast cancer biology and guiding the development of more effective therapeutic interventions.

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IJARIIE BANDLA LAKSHMI MONISHA, ILAVARAPU PRANAYA, CHEERALA BHARGAVI, DEVINENI TUSHARA, and BUDATI MANIKANTH. "ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 799-806
MLA BANDLA LAKSHMI MONISHA, ILAVARAPU PRANAYA, CHEERALA BHARGAVI, DEVINENI TUSHARA, and BUDATI MANIKANTH. "ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 799-806.
APA BANDLA LAKSHMI MONISHA, ILAVARAPU PRANAYA, CHEERALA BHARGAVI, DEVINENI TUSHARA, & BUDATI MANIKANTH. (2024). ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 799-806.
Chicago BANDLA LAKSHMI MONISHA, ILAVARAPU PRANAYA, CHEERALA BHARGAVI, DEVINENI TUSHARA, and BUDATI MANIKANTH. "ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 799-806.
Oxford BANDLA LAKSHMI MONISHA, ILAVARAPU PRANAYA, CHEERALA BHARGAVI, DEVINENI TUSHARA, and BUDATI MANIKANTH. 'ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 799-806. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ENHANCING_BREAST_CANCER_DIAGNOSIS_USING_DEEP_LEARNING_ijariie22817.pdf (Accessed : ).
Harvard BANDLA LAKSHMI MONISHA, ILAVARAPU PRANAYA, CHEERALA BHARGAVI, DEVINENI TUSHARA, and BUDATI MANIKANTH. (2024) 'ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 799-806IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ENHANCING_BREAST_CANCER_DIAGNOSIS_USING_DEEP_LEARNING_ijariie22817.pdf (Accessed : )
IEEE BANDLA LAKSHMI MONISHA, ILAVARAPU PRANAYA, CHEERALA BHARGAVI, DEVINENI TUSHARA, and BUDATI MANIKANTH, "ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 799-806, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/ENHANCING_BREAST_CANCER_DIAGNOSIS_USING_DEEP_LEARNING_ijariie22817.pdf [Accessed : ].
Turabian BANDLA LAKSHMI MONISHA, ILAVARAPU PRANAYA, CHEERALA BHARGAVI, DEVINENI TUSHARA, and BUDATI MANIKANTH. "ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver BANDLA LAKSHMI MONISHA, ILAVARAPU PRANAYA, CHEERALA BHARGAVI, DEVINENI TUSHARA, and BUDATI MANIKANTH. ENHANCING BREAST CANCER DIAGNOSIS USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 799-806. Available from: https://ijariie.com/AdminUploadPdf/ENHANCING_BREAST_CANCER_DIAGNOSIS_USING_DEEP_LEARNING_ijariie22817.pdf
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