深度学习
人工智能
计算机科学
医学影像学
模式
图像处理
上下文图像分类
医学超声
机器学习
分类器(UML)
模式识别(心理学)
计算机视觉
图像(数学)
超声波
放射科
医学
社会科学
社会学
作者
Manimuthu Ayyannan,A. Mohanarathinam,D Sathya,T Nithya,M Tamilnidhi,Neelam Sanjeev Kumar
标识
DOI:10.1109/icears56392.2023.10084948
摘要
Medical image processing has become one of the most significant fields in the area of research. Different medical imaging modalities like CT, MRI, Ultrasound, and so on. Deep learning techniques have been turned out one of the successful and most promising techniques used for medical image processing. This paper reviews the medical imaging techniques and performances based on deep learning methods. The deep learning classifier is the best in finding classification problems in medical image processing. Various deep learning classifiers are reviewed and compared with their accomplished results in terms of accuracy.
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