Brain Tumor Analysis Empowered with Machine Learning and Deep Learning: A Comprehensive Review with its Recent Computational Techniques

被引:0
|
作者
Dhaniya, R. D. [1 ]
Umamaheswari, K. M. [2 ]
机构
[1] SRM Inst Sci & Technol, Dept Comp Sci & Engn, Chennai 603203, Tamil Nadu, India
[2] SRM Inst Sci & Technol, Dept Comp Technol, Chennai 603203, Tamil Nadu, India
关键词
Medical image; MRI; Machine learning; Deep learning; Decision Making Detection; NEURAL-NETWORKS; CLASSIFICATION;
D O I
10.9756/INT-JECSE/V14I3.80
中图分类号
G76 [特殊教育];
学科分类号
040109 ;
摘要
In driving the medical image research machine-learning and deep-learning algorithm are growing expeditiously. The prematureconjecture of disease needs substantial attempts to diagnose the disease. The machine learning algorithm confesses the software application to study from the data and predicts more accurate outcome. The deep learning algorithm drives on extensive dataset imparts on high end machine and clarifies the problem end to end. The primary focus on the survey is to high-spots the machine and deep-learning approaches in medical image analysis that endorses the decision-making practices. The paper provides a plan for the researchers to perceive the extant schemes sustained out for medical imaging with its recognition and hindrances of the machine and deep learning algorithm.
引用
收藏
页码:631 / 639
页数:9
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