| Autor: |
Diksha Gupta, Divyatara Rathod, Riju Bhattacharya |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
International Journal on Recent and Innovation Trends in Computing and Communication. 7:08-12 |
| ISSN: |
2321-8169 |
| Popis: |
Cancer refers to any one of a large number of diseases characterized by the development of abnormal cells that divide uncontrollably and have the ability to infiltrate and destroy normal body tissue.Without treatment, it can cause serious health issues andresult in a loss of life. Breast cancer is the most common cancer among women around the world. Despite enormous medical progress, breast cancer has still remained the second leading cause of death worldwide. Early detection of cancer may reduce mortality and morbidity. This paper presents a review of the detection methods for cancer through Artificial Intelligence (AI) in different ways. Previously Microscopic reviews of tissues on glass slides are used for cancer diagnostics to improve diagnostic accuracy. We can use different techniques such as digital imaging and artificial intelligence algorithm. Cancer care is also advancing thanks to AI’s ability to collect and process data. Due to the nature of processing this information, the task is often a time-consuming and tedious job for doctors. This process may be made much easier, quicker and efficient through the advancement as well as by using modified technologies. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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