Identifying brain abnormalities using image processing and CNN models
Cataloged from PDF version of thesis.
Главные авторы: | Talukder, Ismat Shehrin, Ninty, Rifa Tasmim, Saimon, Md. Galib Hamza, Akbar, Shafkat Asif |
---|---|
Другие авторы: | Islam, Md. Saiful |
Формат: | Диссертация |
Язык: | en_US |
Опубликовано: |
Brac University
2021
|
Предметы: | |
Online-ссылка: | http://hdl.handle.net/10361/15104 |
Схожие документы
-
Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
по: Reza, S. M. Mushfiq, и др.
Опубликовано: (2024) -
Covid-19 infected lung detection using machine learning
по: Islam, Md. Muntaha, и др.
Опубликовано: (2022) -
Detecting brain tumor using deep neural networks from MRI images
по: Imamuzzaman, A.S.M., и др.
Опубликовано: (2021) -
FoodieCal: a convolutional neural network based food detection and calorie estimation system
по: Mashraf, Chowdhury Zerif, и др.
Опубликовано: (2021) -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
по: Akhter, Nasrin
Опубликовано: (2023)