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.
Prif Awduron: | Joyee, Ramisa Fariha, Rodoshi, Lamia Hasan, Nadia, Yasmin |
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Awduron Eraill: | Bin Ashraf, Faisal |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
Brac University
2024
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Pynciau: | |
Mynediad Ar-lein: | http://hdl.handle.net/10361/22719 |
Eitemau Tebyg
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Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
gan: Ashraf, S.M. Nabil, et al.
Cyhoeddwyd: (2021) -
In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
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Visual object classification from fMRI data
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Cyhoeddwyd: (2022) -
Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
gan: Hossain, Shah Md. Shakhawath, et al.
Cyhoeddwyd: (2024) -
Review on: the mechanism and function of Glia in parkinson's disease
gan: Abedin, Khondokar Mezbahul
Cyhoeddwyd: (2023)