A review on cancer detection strategies with help of biomedical images using machine learning techniques
Eelandula Kumaraswamy, Shallu Sharma, Sumit Kumar
Abstract
Cancer is the second most prominent cause of death worldwide, arises from the transformation of normal cells into tumor cells due to an interaction between a person’s genetic factors and external agents. An early detection of cancer can help in determining the best treatment. In this context, we outline a variety of machine learning based cancer detection algorithms and models developed in past. The limitations of the existing models and research gaps in the past studies are also elaborated. Additionally, one case study is provided on the working of conventional classifiers trained on the features extracted from breast cancer histopathological images using handcrafted feature descriptors to demonstrate the potential of conventional machine learning algorithm in cancer detection.