A Review on Medical Image Classification Algorithms

Abstract

This paper focuses on different algorithms and techniques that can be used for processing the medical images digitally. The algorithms starting from the pre-processing phase to the final result phase have been listed and explained here. Newer algorithms are more powerful and proficient. The advancement in the devices such as microscopes and digital cameras has led to a high-quality input dataset. This progress has contributed to the increased efficiency of the algorithms. The advantages and disadvantages of each method are described. Each algorithm is explained separately with its ability and features for the analysis of grey-level images. The following study helps an individual to choose a best fit algorithm that suits his requirements.