Neural network technology plays an important role in the development of new
medical diagnostic assistance or what is known as “computer aided” that based on
image recognition.Thispaper study the method used integration of back propagation
neural network and Particle Swarm Optimizing (PSO) in parts of recognition the XRay
of lungs for two disease cases (cancer and TB) along with the normal case. The
experiments show that the improvement of algorithms for recognition side has
achieved a good result reached to 88.398% for input image size 1024 pixel and 500
population size. The efficiency and recognition testes for training method was
performed and reported in this paper