Research on signal and image processing is a multi-disciplinary application that includes academia, engineering, industry, and medicine. It is progressing day by day. Out of all these applications, the input/desired data is either signal, image, or both. However, the work discussed in this chapter is medical image analysis for cancer detection. Recent technical advancements support healthcare through modern equipment for diagnosis. In most disease diagnosis cases, imaging has a significant role in representing the patients’ physiological parameters. Different techniques need to be developed for accurate detection and diagnosis. Simultaneously, it has an essential role for patients who have cancer. AI technology handles most problems effectively and grows exponentially in this digital world. The critical point of this technology is machine learning techniques, represented as intelligent techniques. The growth in this area paves the way for many applications. In this chapter, the models are developed for the classification using modified variants of machine learning techniques. These are deep learning algorithm-based convolutional neural networks and ensemble neural networks.