Elicitation of Intracerebral Hemorrhage Using Deep Learning-Reference-Cited by-同舟云学术

Elicitation of Intracerebral Hemorrhage Using Deep Learning

Published:2022-08-26 Issue: Volume: Page:
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Container-title:2022 International Conference on Signal and Information Processing (IConSIP)
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Author:

Patil Saraswati¹,Jaybhaye Sangita M.²,Mamulwar Ashwini³,Rambhad Ayush³,Prajapati Mihir³,Mante Suresh³

Affiliation:

1. Vishwakarma Institute of Technology,Department of Computer Engineering Assistant professor,Pune,India,411037

2. Vishwakarma Institute of Technology,Department of Computer Engineering Associate Professor,Pune,India,411037

3. Vishwakarma Institute of Technology,Department of Computer Engineering Btech Student,Pune,India,411037

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10007073/10007433/10007487.pdf?arnumber=10007487

Reference13 articles.

1. Chapter 4 How the Imaging Appearance of Edema and Hemorrhage Change Over Time on CT, MR, and US: Dynamic (Acute) Dating;jeff;Springer Science and Business Media LLC,2011

2. Resting-state fMRI in the Human Connectome Project

3. Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images

4. Automatic detection of cerebral microbleeds via deep learning based 3D feature representation

5. Dilated 3D Convolutional Neural Networks for Brain MRI Data Classification

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1. Deep Learning Approach to Predict Intracerebral Hemorrhage and Grad-Cam Visualization on CT Images;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17