Abstract
Breast cancer is the most leading cancer occurring in women and is a significant factor in female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments for breast cancer detection can lead to a proper treatment to affected patients as early as possible that eventually help reduce the women mortality rate. Reliability issues limit the current clinical detection techniques, such as Ultra-Sound, Mammography, and Magnetic Resonance Imaging (MRI) from screening images for precise elucidation. The capability to detect a tumor in early diagnosis, expensive, relatively long waiting time due to pandemic and painful procedure for a patient to perform. This article aims to review breast cancer screening methods and recent technological advancements systematically. In addition, this paper intends to explore the progression and challenges of AI in breast cancer detection. The next state of the art between image and signal processing will be presented, and their performance is compared. This review will facilitate the researcher to insight the view of breast cancer detection technologies advancement and its challenges.
Highlights
Breast cancer is the most common cancer worldwide and leading cancer compared to other types of cancer for both sexes in Malaysia, which accounted for 8418 (17.3%) out of 48,639 total new cancer cases that recorded by World Health Organization (WHO) in 2020 [1–4]
Alternative technology has focused on breast cancer detection research involving Microwave Imaging (MI) in the recent decade to overcome the inconvenience, accessibility, high risk, and cost associated with X-rays and Magnetic Resonance Imaging (MRI) [56–59]
This paper focuses on recent studies relevant to breast cancer detection using image and signal processing through predictive models using machine learning methods and classification algorithms to predict breast cancer
Summary
Breast cancer is the most common cancer worldwide and leading cancer compared to other types of cancer for both sexes in Malaysia, which accounted for 8418 (17.3%) out of 48,639 total new cancer cases that recorded by World Health Organization (WHO) in 2020 [1–4]. Benign tumors do not invade nearby tissues or spread to other areas of the body(metastasize) [12]. A malignant tumor consists of cancer cells that can invade and kill surrounding tissues and can attack different parts of the body. Breast cancer first spreads into nearby lymph nodes and can affect the lungs. It is pretty apparent that early detection of the cancer cells presence is a crucial stage to cure and prevent the cell from spreading to the other part. Many existing screening and emerging technology tools are used for the detection of the early stages of breast cancer. The current breast cancer detection tools are classified into two categories: body imagingbased technology [22] and microwave imaging-based technology [23]
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