An Evaluation of Deep Learning in the processing of Medical Images

AI is getting better all the time, especially when it comes to deep learning techniques. This is helping to find, sort, and count patterns in clinical photos. Deep learning is the fastest-growing area of artificial intelligence, and it has been used successfully in many fields, including medicine. There is a short overview of research done in the areas of neuro, brain, retinal, pneumonic, computerized pathology, bosom, heart, breast, bone, stomach, and musculoskeletal. Deep learning networks can be used on massive data to find information, use knowledge, and make predictions based on knowledge. This paper talks about basic information and cutting-edge technologies for medical image processing and analysis that use deep learning. The main goals of this study are to show research on processing medical images and to identify and put into action the main guidelines that are found and talked about.

Evaluation ,Deep Learning ,processing ,Medical Images

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