Intracranial hemorrhage detection using CNN-LSTM fusion model

Intracranial hemorrhage detection using CNN-LSTM fusion model

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Detaylı Bibliyografya
Asıl Yazarlar: Ahmed, Kazi sabab, Shariar, Khandaker Sadab, Naim, Naimul Hasan, Hazari, MD. Nayimur Rahman
Diğer Yazarlar: Alam, Md. Golam Rabiul
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2022
Konular:
Deep learning
Convolutional neural network (CNN)
Magnetic Resonance Imaging (MRI)
Magnetic Resonance Angiogram (MRA)
Intracranial hemorrhage
Recurrent Neural Network (RNN)
Cognitive learning theory (Deep learning)
Neural networks (Computer science)
Machine learning
Online Erişim:http://hdl.handle.net/10361/17333

Internet

http://hdl.handle.net/10361/17333

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