COVID-19 Detection from Chest X-Ray Images Using CNN Models and Deep Learning
The dangerous disease and ailment known as COVID-19 has caused a global pandemic
and immeasurable damage to people all around the globe. Chest X-Rays are being used to …
and immeasurable damage to people all around the globe. Chest X-Rays are being used to …
Chest X-ray Image Classification Using Convolutional Neural Network to Identify Tuberculosis
FN Promy, TA Chowdhury, OT Imam, F Alam… - … on Intelligent Computing …, 2023 - Springer
Tuberculosis (TB) is a severe bacterial infection that can be spread by inhaling small
droplets from an infected person's cough and sneeze. TB claimed the lives of 1.5 million …
droplets from an infected person's cough and sneeze. TB claimed the lives of 1.5 million …
Deep Learning Approach for COVID-19 Detection: A Diagnostic Tool Based on VGG16 and VGG19
FR Akash, AA Priniya, JS Chadni, JA Shuha… - … on Intelligent Computing …, 2023 - Springer
The coronavirus disease 2019 is a new contagious illness affecting the lungs and upper
respiratory tract. It has various complications that can affect the quality of life. One of the most …
respiratory tract. It has various complications that can affect the quality of life. One of the most …
Deciphering Handwritten Text: A Convolutional Neural Network Framework for Handwritten Character Recognition
MJ Hossain, SS Zaman, FR Akash, F Alam… - … on Intelligent Computing …, 2023 - Springer
Abstract HCR (Handwritten Character Recognition) is considered one of the most
challenging research areas, given the vast array of potential applications. Character …
challenging research areas, given the vast array of potential applications. Character …
A Computer Assisted Detection Framework of Kidney Diseases Based on CNN Model
TA Ripa, N Faiyaz, M Hassan, RN Sumona… - … on Intelligent Computing …, 2023 - Springer
Kidney Tumors (KT) are the tenth most prevalent tumor in both men and women globally.
Using image processing techniques, we provide several approaches and models in this …
Using image processing techniques, we provide several approaches and models in this …
MRI-Based Brain Tumor Classification Using Various Deep Learning Convolutional Networks and CNN
M Saiful, S Haider, SMA Rahman, N Reza… - … on Intelligent Computing …, 2023 - Springer
Yearly, brain tumors cause many fatalities and a significant portion of these victims come
from rural regions. However, beginning brain tumor diagnosis technology is not as effective …
from rural regions. However, beginning brain tumor diagnosis technology is not as effective …
Brain MRI Classification for Alzheimer's Disease Based on Convolutional Neural Network
Alzheimer's disease is a severe disorder of the brain that gradually increases and affects the
function of the brain. It mainly affects middle-aged people or old aged person. Many …
function of the brain. It mainly affects middle-aged people or old aged person. Many …