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.

מידע ביבליוגרפי
Main Authors: Ahmed, Kazi sabab, Shariar, Khandaker Sadab, Naim, Naimul Hasan, Hazari, MD. Nayimur Rahman
מחברים אחרים: Alam, Md. Golam Rabiul
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2022
נושאים:
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
גישה מקוונת:http://hdl.handle.net/10361/17333

אינטרנט

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

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