Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
Egile Nagusiak: | Asaduzzaman, Sakib, A.F.M. Nazmus, Shusmita, Sanjida Ali, Kabir, S. M. Ashraf |
---|---|
Beste egile batzuk: | Parvez, Mohammad Zavid |
Formatua: | Thesis |
Hizkuntza: | en_US |
Argitaratua: |
Brac University
2021
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/14457 |
Antzeko izenburuak
-
Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
nork: Shahriar, Farhan, et al.
Argitaratua: (2021) -
RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
nork: Rahman, Rafeed, et al.
Argitaratua: (2021) -
Detecting brain tumor using deep neural networks from MRI images
nork: Imamuzzaman, A.S.M., et al.
Argitaratua: (2021) -
An efficient deep learning approach to predict heart failure from image data using ejection fraction
nork: Tanvir, Nazmul Karim, et al.
Argitaratua: (2023) -
An efficient approach to detect melanoma skin cancer using a custom CNN model
nork: Rahman, K.M Saidur, et al.
Argitaratua: (2023)