Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Mammogram image classification using artificial intelligence

Mammogram image classification using artificial intelligence

M, Velmurugan

Paperback

Women's HealthGeneral Education

Currently unavailable to order

ISBN13: 9798889952503
Publisher: Self Publ
Published: May 11 2023
Pages: 122
Weight: 0.38
Height: 0.26 Width: 6.00 Depth: 9.00
Language: English
Breast cancer is one of the leading diseases that reflect the uncontrolled growth of abnormal cells in the human breast. It can be diagnosed through multiple tests, including biopsy, ultrasound, Magnetic Resonance Imaging (MRI), and mammogram. Many cancers are not visible on ultrasound images. Because MRI cannot always distinguish between malignant tumors and benign illness, false positive results might occur. Breast biopsy might be associated with some possible side effects such as bruising, soreness, and swelling. Sometimes, unnecessary biopsies are taken, which is a highly invasive procedure as well as causes discomfort to the patients. Mammography, a specific sort of breast imaging that uses low machine dosage x-rays to recognize cancer at an early stage before even women have symptoms, was developed to solve these issues. Due to anomalies and the nature of human visual perception, it is natural that sometimes the abnormalities are missed or misclassified. To overcome this problem, we have used Artificial intelligence (AI).AI is the process of simulating human intellect in machines that think and act like humans. AI has the potential to detect significant interactions in medical images and is widely used in diagnosis, management of chronic conditions, provision of health services and drug discovery.

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