Identifying brain abnormalities using image processing and CNN models
Cataloged from PDF version of thesis.
Egile Nagusiak: | Talukder, Ismat Shehrin, Ninty, Rifa Tasmim, Saimon, Md. Galib Hamza, Akbar, Shafkat Asif |
---|---|
Beste egile batzuk: | Islam, Md. Saiful |
Formatua: | Thesis |
Hizkuntza: | en_US |
Argitaratua: |
Brac University
2021
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/15104 |
Antzeko izenburuak
-
Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
nork: Reza, S. M. Mushfiq, et al.
Argitaratua: (2024) -
Covid-19 infected lung detection using machine learning
nork: Islam, Md. Muntaha, et al.
Argitaratua: (2022) -
Detecting brain tumor using deep neural networks from MRI images
nork: Imamuzzaman, A.S.M., et al.
Argitaratua: (2021) -
FoodieCal: a convolutional neural network based food detection and calorie estimation system
nork: Mashraf, Chowdhury Zerif, et al.
Argitaratua: (2021) -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
nork: Akhter, Nasrin
Argitaratua: (2023)