Early-Stage Detection of Cancer in Breast Using Artificial Intelligence

Abstract

One of the deadly diseases among humans is Cancer, which occurs almost anywhere in the human body. Cancer is caused by the cells that spread into the surrounding tissues by dividing itself uncontrollably. Breast Cancer is the most common cancer among women. Early detection and diagnosis of breast cancer are treatable and curable. Many women have no symptoms for this cancer at an early stage. The abnormal cells in the breast will risk for the development of breast cancer. So, it is important for women to regularly examine their breast. Technologies can be utilized in a smarter way with Artificial Intelligence techniques to assist the women during their examination of the breast at their living place to avoid the risk of breast cancer. The main aim is to develop a lowcost self-examining device for the detection of breast cancer and abnormality in the breast using an efficient optical method, Deep-learning algorithm and Internet of Things.

Task type's effect on attitudes towards voice assistants

“…We find that user attitudes are significantly higher in functional‐oriented tasks compared to social‐oriented tasks. This illustrates that VAs are still predominantly considered to be analytical AI‐powered devices (Dwivedi et al, 2021; Kumar et al, 2021). Thus, users have a higher expectation of the efficiency and functional performance of VAs (i.e., ease of use and usefulness).…”

“…VAs are still predominantly considered to be analytical AI-powered devices (Dwivedi et al, 2021;Kumar et al, 2021). Thus, users have a higher expectation of the efficiency and functional performance of VAs (i.e., ease of use and usefulness).…”

“…The ubiquitous adoption of VAs is evident, with more than 4.2 billion VAs in use worldwide in 2020, and this number is expected to double by 2024 (Statista, 2021). As a result, VAs have been one of the most notable AI‐powered inventions in the last decade (Balakrishnan & Dwivedi, 2021; Collins Jackson et al, 2021; Kumar et al, 2021). Artificial intelligence‐powered voice assistants have also attracted tremendous interest from both academics.…”

“…While VAs can perform a wide range of tasks, from daily reminders to offering companionship, this does not necessarily mean that VAs can successfully perform all tasks equally. The current VAs are mostly considered analytical AI‐powered devices with the ability to store conversation, actions and data to deliver optimized performance (Dwivedi & Wang, 2022; Kumar et al, 2021). Therefore, the current VAs can simulate the cognitive process and perform various cognitive functions very well due to a well‐defined schema (Wang et al, 2011).…”

A Novel Application Service Security Using Peer-to-Peer Trust Slicing Trust Model

“…Large-scale P2P networks cannot use the model. [7] presented the distributed trust aggregation approach, proposed the M-Trust model, and evaluated the trust based on recommendations from other peers and peers with direct interaction. Because it is challenging to determine a recommender's reliability in a dynamic P2P network environment, the trust threshold limit needs to be adjusted in accordance with the network's unique characteristics.…”