Intracranial Hemorrhage Detection on CT Scan Images using Transfer Learning Approach of Convolutional Neural Network-Reference-Cited by-同舟云学术

Intracranial Hemorrhage Detection on CT Scan Images using Transfer Learning Approach of Convolutional Neural Network

Published:2022-03-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Computing Advancements
language:
Short-container-title:

Author:

Rahman Afridi Ibn¹,Bhuiyan Subhi¹,Reza Ziad Hasan¹,Zaheen Jasarat¹,Khan Tasin Al Nahian¹,Karim Dewan Ziaul¹

Affiliation:

1. Department of Computer Science and Engineering, BRAC University, Bangladesh

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3542954.3542980

Reference21 articles.

1. Mahmoud Al-Ayyoub , Duaa Alawad , Khaldun Al-Darabsah , and Inad Aljarrah . 2013. Automatic detection and classification of brain hemorrhages. WSEAS transactions on computers 12, 10 ( 2013 ), 395–405. Mahmoud Al-Ayyoub, Duaa Alawad, Khaldun Al-Darabsah, and Inad Aljarrah. 2013. Automatic detection and classification of brain hemorrhages. WSEAS transactions on computers 12, 10 (2013), 395–405.

2. CSS Anupama M Sivaram E Laxmi Lydia Deepak Gupta and K Shankar. 2020. Synergic deep learning model–based automated detection and classification of brain intracranial hemorrhage images in wearable networks. Personal and Ubiquitous Computing(2020) 1–10. CSS Anupama M Sivaram E Laxmi Lydia Deepak Gupta and K Shankar. 2020. Synergic deep learning model–based automated detection and classification of brain intracranial hemorrhage images in wearable networks. Personal and Ubiquitous Computing(2020) 1–10.

3. Mohammad R Arbabshirani , Brandon K Fornwalt , Gino J Mongelluzzo , Jonathan D Suever , Brandon D Geise , Aalpen A Patel , and Gregory J Moore . 2018. Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. NPJ digital medicine 1, 1 ( 2018 ), 1–7. Mohammad R Arbabshirani, Brandon K Fornwalt, Gino J Mongelluzzo, Jonathan D Suever, Brandon D Geise, Aalpen A Patel, and Gregory J Moore. 2018. Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. NPJ digital medicine 1, 1 (2018), 1–7.

4. Amelia K Boehme , Charles Esenwa , and Mitchell SV Elkind . 2017. Stroke risk factors, genetics, and prevention. Circulation research 120, 3 ( 2017 ), 472–495. Amelia K Boehme, Charles Esenwa, and Mitchell SV Elkind. 2017. Stroke risk factors, genetics, and prevention. Circulation research 120, 3 (2017), 472–495.

5. J Alfredo Caceres and Joshua N Goldstein . 2012. Intracranial hemorrhage. Emergency medicine clinics 30, 3 ( 2012 ), 771–794. J Alfredo Caceres and Joshua N Goldstein. 2012. Intracranial hemorrhage. Emergency medicine clinics 30, 3 (2012), 771–794.

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