Identification of Skin Cancer, Bone Tumor and Early-Stage Lung Cancer Prognosis Prediction using Machine Learning

Abstract

Machine learning has become widely popular with its applications reaching almost every field in our daily life. Machine learning is the science of predicting outcomes by drawing inference on models trained with familiar data to predict outcomes in unknown data. This paper proposes the machine learning approach to hit upon and discover exclusive kinds of cancers in snap shots the use of deep gaining knowledge of. The proposed paper includes development of UI which can load the photo the use of the add button and then display effects concerning the sort, presence and sort of most cancers inside the image. This technique uses supervised system getting to know to educate the version using recognized information and then to are expecting cancer in unknown records of X-ray snap shots that are fed the usage of open CV. For the proposed paper the version is trained to detect bone, skin and lung cancer usage of device studying and evolved UI. For the purpose of education switch learning technique is used and SSD models are used to stumble on the type of most cancers.