Medical Image Classification for Disease Prediction with the Aid of Deep Learning Approaches

Machine learning as well as deep learning algorithms is recently in huge demand in the field of image classification. This research paper illustrates the relevance of these two prospects for making further improvement in the treatment system in the upcoming days. In this context the evolution of the machine learning from its invention to the modern stage has been discussed. The limitations of machine learning are elaborated and as a consequence the emergence of deep learning have been depicted. The study also provides an insight to the different leaning process and their relevance in the field of image classification and image analysis. Opinion of people are gathered about this aspect and presented in a survey format. The overall presentation illustrates a precise discussion about the relevance and evaluation of artificial learning system in the context of image classification which can be used in diagnostic process. The different fields of medical treatment which are seeing benefits of introduction of deep learning network and convolutional neural network are also discussed here. At the end a conclusive summary about the machine learning process and its pros and cons are elaborated to get an idea about the present standing point of machine learning on the field of medical science.