摘要
深度学习在医学图像识别领域已有广泛应用,并取得了一系列成果,皮肤病的诊断高度依赖形态学特征,使其成为了深度学习研究的热点。通过文献回顾分析深度学习在皮肤图像分类识别中的应用及取得的最新进展,讨论深度学习在皮肤病分类识别中的优势与不足。
Deep learning has been widely used in the field of medical image recognition,and a series of achievements have been made.The diagnosis of skin diseases highly depends on morphological characteristics,which makes it a research hot spot of deep learning.Through literature review,this paper analyzes the application and the latest progress of deep learning in skin image classification and recognition,and discusses the advantages and disadvantages of deep learning in skin disease classification and recognition.
作者
谭鸿
巴伟
李承新
TAN Hong;BA Wei;LI Cheng-xin(Department of Dermatology,the First Medical Center of Chinese PLA General Hospital,Beijing 100853,China)
出处
《实用皮肤病学杂志》
2020年第6期348-351,共4页
Journal of Practical Dermatology
关键词
深度学习
皮肤图像
皮肤病
分类
Deep learning
Skin images
Skin diseases
Classification