Challenge: RSNA Screening Mammography Breast Cancer Detection

According to the WHO, breast most cancers is the most frequent most cancers all over the world. In 2020 alone, there had been 2.3 million new breast cancer diagnoses and 685,000 fatalities. However breast most cancers mortality in superior-cash flow international locations has dropped by 40% considering the fact that the 1980s when health and fitness authorities applied regular mammography screening in at-possibility age teams.

 

Early detection and procedure are important to cutting down cancer fatalities, and your machine-finding out competencies could aid streamline the process radiologists use to examine screening mammograms.

 

Now, early detection of breast cancer requires the expertise of really-trained human observers, producing screening mammography programs high-priced to carry out. A looming lack of radiologists in a number of countries will probable worsen this issue.

Mammography screening also leads to a substantial incidence of phony constructive outcomes. This can consequence in pointless nervousness, inconvenient comply with-up treatment, additional imaging assessments, and from time to time a need for tissue sampling (frequently a needle biopsy).

The purpose of this competitors is to determine breast most cancers. You will educate your model with screening mammograms obtained from typical screening.

 

Your function bettering the automation of detection in screening mammography may well empower radiologists to be extra accurate and productive, enhancing the quality and basic safety of affected person care. It could also help cut down charges and pointless healthcare techniques.

Submissions to this Challenge should be gained by 11:59 PM UTC, February 27, 2023.

 

Source: Kaggle

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