IMPROVEMENT OF BREAST CANCER DETECTION IN BANGLADESH WITH IMAGE PROCESSING
Breast cancer remains a significant healthcare challenge, necessitating early detection for effective intervention. This research focuses on automating breast cancer detection through advanced image processing techniques, specifically utilizing MATLAB's Image Processing Toolbox. The research paper presents a detailed methodology involving noise reduction, grayscale conversion, segmentation, and Hidden Markov Random Field (HMRF) modeling. The research study explores the depth of knowledge required, the range of conflicting requirements, depth of analysis, innovation, and unfamiliar issues. The societal and environmental consequences of the innovation are also discussed. The research underscores the importance of this research in bridging technology and healthcare.
Image Processing, Breast Cancer, Automation, Smart Health Care.