Application of Deep Learning Approach for detecting Brain Tumor in MR Images

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY International Journal of Critical Infrastructures Pub Date : 2024-01-01 DOI:10.1504/ijcis.2024.10046183
Jyoti Agarwal, M. Kumar, Anuj Rani, Sunil Gupta
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深度学习方法在MR图像中脑肿瘤检测中的应用
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来源期刊
International Journal of Critical Infrastructures
International Journal of Critical Infrastructures ENGINEERING, MULTIDISCIPLINARY-
CiteScore
2.00
自引率
16.70%
发文量
29
期刊介绍: IJCIS is an inter-disciplinary and refereed journal that provides a professional and scholarly forum for cross-learning between different scientific and technological disciplines, and between business and economic, as well as between societal and managerial, disciplines in the area of critical infrastructures. Critical infrastructures are networks for the provision of telecommunication and information services, energy services, water supply, transportation of people and goods, banking and financial services, government services and emergency services. By addressing commonalities and interrelationships between the various sectors, IJCIS enables scientists, policy makers and professionals in the field to learn from experiences in other countries and in other infrastructure sectors.
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CPW-Fed Printed Patch Antenna for 5G-IoT Infrastructure Development The dynamic and secure storage of enterprise financial data based on cloud platform Application of Deep Learning Approach for detecting Brain Tumor in MR Images The Vibration Control of Magnetorheological Elastomer Damper for Eccentric Workshop Enabling Active Safety System along with Realtime monitoring and audio alerts in Two Wheelers through Smart Helmet System
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