How can reinforcement learning be used in medical imaging? A review of Emory University's latest "reinforcement learning medical image analysis", which expounds the latest RL medical image analysis co

The task of medical image analysis is to assist doctors in qualitative and quantitative analysis of lesions or anatomical structures , Significantly improve the accuracy and reliability of diagnosis and prognosis . Traditionally , These jobs are done by doctors or medical physicists , This leads to two main problems : (1) Low efficiency ; (ii) Prejudice of personal experience . In the past decade , Many machine learning methods are used to accelerate and automate the image analysis process . Compared with a large number of deployed supervised and unsupervised learning models , There are few attempts to use reinforcement learning in medical image analysis . This paper can be used as the basis of related research .

From our observation , Although reinforcement learning has gradually sprung up in recent years , But many researchers in the field of medical analysis have found , Reinforcement learning is difficult to understand and deploy in clinics . One reason is the lack of well-organized review articles , The target audience lacks a professional background in Computer Science . This article does not provide a comprehensive list of all reinforcement learning models in medical image analysis , Instead, it helps readers learn how to formulate and solve their medical image analysis research as reinforcement learning problems .

We choose Google Scholar and PubMed Published articles . Considering the scarcity of relevant articles , We also have some excellent latest preprints . The paper is carefully investigated and classified according to the type of image analysis task . We first review the basic concepts and commonly used models of reinforcement learning . then , We discuss the application of reinforcement learning model in landmark detection . Last , We summarize the article by discussing the limitations and possible improvements of the reinforcement learning method reviewed .

Thesis link ：

https://deepai.org/publication/reinforcement-learning-in-medical-image-analysis-concepts-applications-challenges-and-future-directions