Potential Role of Artificial Intelligence in Breast Cancer Detection- A Review

Potential Role of Artificial Intelligence in Breast Cancer Detection- A Review
  IJETT-book-cover           
  
© 2022 by IJETT Journal
Volume-70 Issue-7
Year of Publication : 2022
Authors : Sudha Prathyusha Jakkaladiki, Filip maly
DOI : 10.14445/22315381/IJETT-V70I7P214

How to Cite?

Sudha Prathyusha Jakkaladiki, Filip maly, "Potential Role of Artificial Intelligence in Breast Cancer Detection- A Review" International Journal of Engineering Trends and Technology, vol. 70, no. 7, pp. 130-139, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I7P214

Abstract
Breast cancer remains a major cause of mortality in females worldwide. Detecting breast cancer at earlier stages would make a significant difference among the global population. Artificial intelligence (AI) has made its way to concern for developing technologies and approaches for detecting cancer at earlier stages, artificial intelligence (AI) has made its way. Recent research by scientific experts has concentrated on this automated process. The major advantages of enhancing the research on this particular field involving AI in detection are due to the usage of deep learning algorithms (software) and the hardware capable of using the complex and complicated algorithms of AI. The advantages also include the accessibility of larger datasets required for AI training approaches. The identification and detection of breast cancer have been performed using mammograms, ultrasound, histopathology, magnetic resonance imaging, or a conjunction of these imaging techniques in an automated manner. Combining image-specific findings and underlying genetic, pathologic, and clinical characteristics in breast cancer is becoming increasingly valuable. Radiologists now have more diagnostic tools and image collections to study and interpret because of the introduction of innovative imaging modalities. Integrating an AI-based workflow into breast imaging allows many data streams to be combined into strong multidisciplinary applications, perhaps leading to tailored patient-specific therapy. The current article analyses the role of AI in the early detection of breast cancer.

Keywords
Artificial intelligence, Breast cancer, Deep learning, Early detection, Medical imaging.

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