In the field of medical imaging, the accurate segmentation of breast tumors is a critical task
for the diagnosis and treatment of breast cancer. To address the challenges posed by fuzzy …

Medical image processing has proven to be effective and feasible for assisting oncologists
in diagnosing lung, thyroid, and other cancers, especially at early stage. However, there is …

Breast cancer is one of the deadliest diseases that affect women over the age of 40. The
death rate from cancer is reduced when it is detected and diagnosed early. The removal of …

Background: The most important aspect of medical image processing and analysis is image
segmentation. Fundamentally, the outcomes of segmentation have an impact on all …

Breast cancer poses a threat to women's health and contributes to an increase in mortality
rates. Mammography has proven to be an effective tool for the early detection of breast …

Breast cancer is one of the most common types of cancer among women worldwide and
mammography is the primary method which plays a major role in early diagnosis of breast …

This paper has aimed to develop the Breast Cancer Detection (BCD) technique along with
the mammography reports of the patients. For this proposed framework, the required images …

Specific anatomical structures from the female body, such as the axillary slope, armpit,
pectoral muscle, or abdominal tissue, can be present in mammograms and might affect the …

Rapid advancements in technology has aided in early prediction of Breast cancer which is a
high mortality rate characterized condition. Fuzzy and Neural network-based models have …

Breast cancer is a significant global health issue and plays a crucial role in improving patient
outcomes through early detection. This study aims to enhance the accuracy and efficiency of …