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.
主要な著者: | Asaduzzaman, Sakib, A.F.M. Nazmus, Shusmita, Sanjida Ali, Kabir, S. M. Ashraf |
---|---|
その他の著者: | Parvez, Mohammad Zavid |
フォーマット: | 学位論文 |
言語: | en_US |
出版事項: |
Brac University
2021
|
主題: | |
オンライン・アクセス: | http://hdl.handle.net/10361/14457 |
類似資料
-
Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
著者:: Shahriar, Farhan, 等
出版事項: (2021) -
RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
著者:: Rahman, Rafeed, 等
出版事項: (2021) -
Detecting brain tumor using deep neural networks from MRI images
著者:: Imamuzzaman, A.S.M., 等
出版事項: (2021) -
An efficient deep learning approach to predict heart failure from image data using ejection fraction
著者:: Tanvir, Nazmul Karim, 等
出版事項: (2023) -
An efficient approach to detect melanoma skin cancer using a custom CNN model
著者:: Rahman, K.M Saidur, 等
出版事項: (2023)