A Survey of Deep Learning Models for Medical Image Analysis

作者：Mohammad Umer, Shilpa Sharma, Punam Rattan · 发表于：International Conference on Conceptual Structures · 年份：2021 · DOI：10.1109/iccs54944.2021.00021 · 被引用次数：11

Deep learning algorithms have lately risen to prominence as the primary tool for processing medical images. These algorithms are suitable for solving these image processing problems because of their efficient learning abilities and the potential to deal with complex problems relatively easily. Deep Learning's usefulness in health domain has grown drastically over the past few years as the amount of medical data has expanded exponentially. The main deep learning models, that have become popular over a last few years, relevant to medical image analysis are reviewed in this work. Various studies based on medical image analysis using deep learning models are surveyed in this study. This study provides an overview of various technologies used in Deep Learning in medical imagery and gives a brief idea about their performance.