The visual representation of the image tries to draw emphasis to the Lungs Image’s deficient feature vector is based on the interest aroused by the display of a flaw in the words and images. To build a successful Google Images Search Engine, thorough model co-training for illness diagnosis of text and image on spatial features is necessary. In the paper, customized image rating using machine learning improves user experiences. The study makes the argument that optimizing picture ranking for individual users can improve user experiences while also requiring specific model co-training for text and image data in a robust machine like Google Images Search Engine. Artificial neural networks (ANN) enable experts in computer science to complete challenging tasks including pre-processing, Feature Prediction, and Pattern Recognition. The experimental result is on Lung Cancer Detection from feature vector in the different types of X-Ray, PET scan, WSI, Images and other types etc, with the help of distance method.