Early Detection of Cancer using Machine Learning - Tapa blanda

Sinopsis

- In this day of modern science and age where scientific and technological accomplishments are touching new heights with every second that is passing, the main step in cancer detection is how to classify tumours into malignant or benign which is a challenging task. Machine learning techniques can enormously improve the accuracy
of diagnosis. We aim to classify tumour into malignant or benign tumour using different features from several cell images. Machine learning uses the computer data to learn
and then use this data to learn a particular pattern or trend in the data. The increasing cancer rate all over the world in today’s date is alarming and there is an increased need for efficient cancer detecting techniques. This is possible using Machine learning. This technique provides early detection of tumour which eventually helps in early diagnosis which plays an important role in the treatment of tumour patients.According to global statistics breast cancer is a significant public health problem in today’s society because of its widespread increase in cancer rates. Because of its unique advantages in critical features detection from complex data sets, machine learning (ML) is widely recognized as the methodology of choice in cancer pattern classification.

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