Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Detalles Bibliográficos
Autores principales:	Uddin, Mohammad Sakib, Nidhi, Nusrat Jahan, Yesmin, Sadia, Roy, Proloy Kanti
Otros Autores:	Alam, Md. Golam Rabiul
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2024
Materias:	CNN Deep learning Feature extraction Convolutional neural network Traumatic meningeal enhancement TME Image processing > Digital techniques Diagnostic imaging > Digital techniques Image analysis Neural networks (Computer science)
Acceso en línea:	http://hdl.handle.net/10361/22873

http://hdl.handle.net/10361/22873

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