Detection of bone, skin and lung cancer in a x-ray images

Machine learning is widely getting popular with its applications reaching to al-most every field in our day to day life. The machine learning is the science to predict the results by drawing inference on models trained with familiar data to predict the results in unknown data. This project proposes the machine learning approach to detect and locate images using different types of cancers in a deep learning. The proposed project involves development of the UI which can load the image using the upload button and then display results regarding the type, pres-ence and type of cancer in the image. This approach uses supervised machine learning to train the model using known data and then to predict the un-known cancer-ray data of 10 images which are fed using open 105. For the proposed project the model is trained to detect bone, Skin and lung cancer using machine learning and developed UI.

Autorentext

El autor es un investigador y renombrado científico mundial que tiene 3 patentes. Es un Académico, investigador, autor, escritor, inventor e innovador, Científico (Consultor y conferencista). Seis años de experiencia como profesor asistente en las escuelas de ingeniería KLE chikodi. Está buscando un post doc en ECE de la Universidad LINCOLN de Malasia.