Artificial intelligence for Breast Cancer Detection

AUTHOR(S)

Derin Mathew, Merin Siby, Neha Kumari N, Sneha Martin, Binny S

DOI: https://doi.org/10.46647/ijetms.2023.v07i04.064

ABSTRACT
Millions of women globally are affected by breast cancer, which is a serious global health issue. Accurate diagnosis and early detection are essential for enhancing patient outcomes. The development of artificial intelligence (AI) has completely changed the way that breast cancer is diagnosed and treated. For the goal of diagnosing breast cancer, several AI techniques have been used, which include CAD systems, models based on deep learning and machine learning algorithms. To develop models that can precisely categorize and identify malignant lesions, separate harmless from tumors that are malignant and predict patient outcomes, these techniques make use of enormous databases of annotated pictures.AI algorithms can help with risk assessment by spotting high risk people who can benefit from specialized screenings or preventive measures. Despite these encouraging advancements, issues including quality of data, consistency, and ethical issues still exist. This research paper primarily focuses on the significance of AI in detecting breast cancer, the techniques used by AI and the fundamental ideas around it.
Page No: 485 - 490

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How to Cite This Article:
Derin Mathew, Merin Siby, Neha Kumari N, Sneha Martin, Binny S . Artificial intelligence for Breast Cancer Detection . ijetms;7(4):485-490. DOI: 10.46647/ijetms.2023.v07i04.064