Big Data Analytics with Deep Learning based Intracranial Haemorrhage Diagnosis and Classification Model-Reference-Cited by-同舟云学术

Big Data Analytics with Deep Learning based Intracranial Haemorrhage Diagnosis and Classification Model

Published:2022-11-24 Issue: Volume: Page:
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Container-title:2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
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Author:

T Munirathinam.¹,Upadhyay Shrikant²,Babitha Lincy R.³,J Jency Rubia⁴,Beaulah Jeyavathana R.⁵,Gopatoti Anandbabu⁶

Affiliation:

1. Bannari Amman institute of technology,Department of computer science and engineering

2. ECE Cambridge Institute of Technology,Ranchi,835103

3. Sri Eshwar College of Engineering, Kinathukadavu,CCE department,Coimbatore

4. K. Ramakrishnan College of Engineering, Samayapurarn,Department of ECE,Tiruchirappalli,621112

5. SRM Institute of Science and Technology,Department of Computational Intelligence

6. Hindusthan College of Engineering and Technology,Department of Electronics and Communication Engineering,Coimbatore,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10010702/10010572/10010826.pdf?arnumber=10010826

Reference26 articles.

1. Big Data Analysis of the Risk of Intracranial Hemorrhage in Korean Populations Taking Low-Dose Aspirin

2. Artificial intelligence with big data analytics-based brain intracranial hemorrhage e-diagnosis using CT images

3. Synergic deep learning model-based automated detection and classification of brain intracranial hemorrhage images in wearable networks;anupama;Personal and Ubiquitous Computing,2020

4. Texture analysis based on U-Net neural network for intracranial hemorrhage identification predicts early enlargement

5. Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images

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