Application of deep learning in MRI classification of Schizophrenia
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Hoofdauteurs: | Joyee, Ramisa Fariha, Rodoshi, Lamia Hasan, Nadia, Yasmin |
---|---|
Andere auteurs: | Bin Ashraf, Faisal |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
Brac University
2024
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/22719 |
Gelijkaardige items
-
Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
door: Ashraf, S.M. Nabil, et al.
Gepubliceerd in: (2021) -
In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
door: Haque, Hossain MD. Hasibul, et al.
Gepubliceerd in: (2024) -
Visual object classification from fMRI data
door: Newaz, Syed Mishar, et al.
Gepubliceerd in: (2022) -
Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
door: Hossain, Shah Md. Shakhawath, et al.
Gepubliceerd in: (2024) -
Review on: the mechanism and function of Glia in parkinson's disease
door: Abedin, Khondokar Mezbahul
Gepubliceerd in: (2023)