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2024 | OriginalPaper | Buchkapitel

An Investigation on Different Approaches for Medical Imaging

verfasst von : Anandakumar Haldorai, Babitha Lincy R, Suriya Murugan, Minu Balakrishnan

Erschienen in: Artificial Intelligence for Sustainable Development

Verlag: Springer Nature Switzerland

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Abstract

The participation of artificial intelligence (AI), particularly in the medical imaging field has enhanced the domains of health innovation. As the lack of condition which is unknown to the affected ones, there is no effective or suitable approaches for preventing and treating the breast cancer. Early detection may increase the possibilities of a full recovery from the disease. A timely analysis of an effective method of identifying and controlling breast cancer. The best method for early breast cancer identification is mammography. This device also makes it possible to identify additional diseases and may reveal details about the type of cancer, such as whether it is normal, malignant, or benign. Basic definitions of concepts like “machine/deep learning” are given in this article, which also examines how AI has been incorporated into radiology. With the advancement of digital imaging technologies, analyzing medical images to diagnose diseases has become increasingly crucial. Clinical medicine can advance through the smart segmentation, identification, and size categorization of breast cancer images using digital image processing technology. This research introduces approaches of medical image identification technology for breast cancer. The investigation of smart segmentation and deep learning for breast cancer is discussed.

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Titel: An Investigation on Different Approaches for Medical Imaging
verfasst von: Anandakumar Haldorai
Babitha Lincy R
Suriya Murugan
Minu Balakrishnan
Verlag: Springer Nature Switzerland
Buch: Artificial Intelligence for Sustainable Development
Print ISBN: 978-3-031-53971-8

Electronic ISBN: 978-3-031-53972-5

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-53972-5_3

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