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.
Main Authors: | Joyee, Ramisa Fariha, Rodoshi, Lamia Hasan, Nadia, Yasmin |
---|---|
其他作者: | Bin Ashraf, Faisal |
格式: | Thesis |
语言: | English |
出版: |
Brac University
2024
|
主题: | |
在线阅读: | http://hdl.handle.net/10361/22719 |
相似书籍
-
Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
由: Ashraf, S.M. Nabil, et al.
出版: (2021) -
In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
由: Haque, Hossain MD. Hasibul, et al.
出版: (2024) -
Visual object classification from fMRI data
由: Newaz, Syed Mishar, et al.
出版: (2022) -
Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
由: Hossain, Shah Md. Shakhawath, et al.
出版: (2024) -
Review on: the mechanism and function of Glia in parkinson's disease
由: Abedin, Khondokar Mezbahul
出版: (2023)