Detection of Lungs cancer through image processing
I am working on project to detect lungs cancer i had included algorithms for feature extraction like binarization,contours,contourArea,threshold,SIFT(to make more efficient ),Region Growing,Region of Interest(ROI),watershed . Which algorithms should i add more to make 97-98% efficiency of detection ? I want to detect cancer in its very 1 stage.
PS:-I am also using Data mining concepts like Decision tree to get probable data(other way to make more efficient project).
"Which algorithms should i add more to make 97-98% efficiency of detection ? I want to detect cancer in its very 1 stage." You selected an extremely hard and open problem. You'd win at least the Nobel prize if you could solve it, so I guess you maybe should learn computer vision with something easier. And then go for this problem after your PhD, PostDoc and position as full professor for some years.
well thanks, i will post all snapshots of the output to get all people suggestions,of improving more, and will put the code on Github.