计算机科学
深度学习
人工智能
分割
图像分割
领域(数学)
图像处理
图像(数学)
运动(物理)
计算机视觉
医学影像学
机器学习
数据科学
数学
纯数学
作者
Aman Agarwal,Rakesh Kumar,Meenu Gupta
标识
DOI:10.1109/ccet56606.2022.10080703
摘要
Deep learning (DL) has made extensive progress in many exploration regions. Computer vision is one of the most trending fields advancing due to extensive research in developing DL models, mainly focusing on image pattern recognition. These days, numerous specialists attempt to track down answers for issues in different fields under the illumination of DL techniques. In this review, important information is added about DL models and testing points specialists can use in DL. This study explored DL and concentrates on what advancements are made in the most famous fields, for example, Medical Image segmentation, automated disease classification, 4D Motion Estimation, etc. Moreover, this study discusses the leftover difficulties of these examination regions that DL can tackle and talks about future subjects to help scientists, especially in handling Medical Images.
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