Identification of Intracranial Hemorrhage using ResNeXt Model-Reference-Cited by-同舟云学术

Identification of Intracranial Hemorrhage using ResNeXt Model

Published:2022-10-16 Issue: Volume: Page:
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Container-title:2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)
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Author:

K Navaneet Bhat¹,Biradar Vidyadevi G.¹,Mallya Adithya Krishna S.¹,Sabat Sohan Shekar¹,G Mohan S.¹,Pareek Piyush Kumar²

Affiliation:

1. Nitte Meenakshi Institute of Technology,Department of Information Science and Engineering,Bengaluru

2. Nitte Meenakshi Institute of Technology,Department of Computer Science and Engineering,Bengaluru

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9972337/9971799/09972396.pdf?arnumber=9972396

Reference20 articles.

1. Localization and classification of intracranial hemorrhages in CT data;nemcek;European Medical and Biological Engineering Conference,2020

2. Yahya ZA Ghoraani B;hssayeni;Intracranial hemorrhage segmentation using a deep convolutional model Data,2020

3. Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models

4. Development and validation of deep learning algorithms for detection of critical findings in head CT scans;chilamkurthy,2018

5. Combining fully convolutional and recurrent neural networks for 3d biomedical image segmentation;chen;Advances in neural information processing systems,2016

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