Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Hoofdauteurs: | Mahbub, Riasat, Azim, Muhammad Anwarul, Reza, Khondaker Masfiq, Mahee, Md Nafiz Ishtiaque, MD. Zahidul Islam Sanjid |
---|---|
Andere auteurs: | Parvez, Mohammad Zavid |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
Brac University
2022
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/16588 |
Gelijkaardige items
-
Early prediction of Alzheimer's disease using convolutional neural network
door: Abed, Mahjabeen Tamanna, et al.
Gepubliceerd in: (2020) -
An efficient ML approach to detect brain tumor using MRI images
door: Muktadir, MD. Arafat, et al.
Gepubliceerd in: (2024) -
Improvisation of Magnetic Resonance Imaging (MRI) with development and feasible evaluation of fiber optic sensors: a survey
door: Shabnam, Farzana, et al.
Gepubliceerd in: (2018) -
Intracranial hemorrhage detection using CNN-LSTM fusion model
door: Ahmed, Kazi sabab, et al.
Gepubliceerd in: (2022) -
Pneumonia Disease detection using the convolutional neural network
door: Ashrafee, Md. Iftid, et al.
Gepubliceerd in: (2024)