Brain hemorrhage detection using hybrid machine learning algorithm
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
| Hoofdauteurs: | Iqbal, Khondoker Nazia, Azad, Istinub, Emon, Md. Imdadul Haque, Amlan, Nibraj Safwan, Aporna, Amena Akter |
|---|---|
| Andere auteurs: | Islam, Md. Saiful |
| Formaat: | Thesis |
| Taal: | English |
| Gepubliceerd in: |
Brac University
2022
|
| Onderwerpen: | |
| Online toegang: | http://hdl.handle.net/10361/16907 |
Gelijkaardige items
-
Predicting brain age from EEG signals using machine learning and neural network
door: Pratanu, Abul Mushfique Muslah, et al.
Gepubliceerd in: (2023) -
Homomorphic encryption on deep learning in accurate prediction of brain tumour
door: Sarwar, Arafat, et al.
Gepubliceerd in: (2023) -
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
door: Rahman, Afridi Ibn, et al.
Gepubliceerd in: (2022) -
Intracranial hemorrhage detection using CNN-LSTM fusion model
door: Ahmed, Kazi sabab, et al.
Gepubliceerd in: (2022) -
Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
door: Choudhury, Prionto Kumar, et al.
Gepubliceerd in: (2024)