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Research Paper | Computer Science | India | Volume 12 Issue 10, October 2023

Analysis of Algorithms Used for Detection of Breast Cancer

Krishna Mansinghka

Abstract: Disease diagnosis through medical imaging is crucial in modern healthcare, but it can be laborious and error-prone when relying solely on manual interpretation. This research investigates the potential of machine learning algorithms, including deep learning models, in revolutionizing medical image analysis. The study explores the use of these algorithms to detect diseases, with a focus on breast cancer, through comprehensive performance evaluation, comparative analysis, and the identification of challenges. The research highlights the significance of machine learning-based disease diagnosis for improving diagnostic precision, clinical decision-making, medical image analysis, and patient outcomes. Motivated by the need for more efficient and accurate disease diagnosis, this study evaluates various machine learning models and their performance metrics. It aims to contribute insights that guide the development and implementation of machine learning algorithms for disease diagnosis, ultimately benefiting patients and healthcare providers. The findings indicate promising results in breast cancer diagnosis using machine learning algorithms, emphasizing their potential impact on improving disease detection and patient care. Future research should focus on addressing dataset bias, enhancing model interpretability, and ensuring responsible integration of machine learning in healthcare through collaborations between experts in machine learning and medical professionals.

Keywords: disease diagnosis, medical imaging, machine learning, deep learning, breast cancer

Edition: Volume 12 Issue 10, October 2023,

Pages: 2099 - 2106