Automatic diagnosis of covid-19 from ct images using cyclegan and transfer learning
The outbreak of the corona virus disease (COVID-19) has changed the lives of most people
on Earth. Given the high prevalence of this disease, its correct diagnosis in order to …
on Earth. Given the high prevalence of this disease, its correct diagnosis in order to …
[PDF][PDF] Medical image compression and encryption using adaptive arithmetic coding, quantization technique and RSA in DWT domain
NH Hussein, MA Ali - Iraqi Journal of Science, 2022 - iasj.net
Currently, medical images represent basis of clinical diagnosis and source of telehealth and
teleconsultation processes. Exchange of these images can be subject to several challenges …
teleconsultation processes. Exchange of these images can be subject to several challenges …
[PDF][PDF] A modified residual network for detection and classification of Alzheimer's disease
FS Hanoon, AHH Alasadi - International Journal of Electrical and …, 2022 - academia.edu
Alzheimer's disease (AD) is a brain disease that significantly declines a person's ability to
remember and behave normally. By applying several approaches to distinguish between …
remember and behave normally. By applying several approaches to distinguish between …
Fingerprint Identification System based on VGG, CNN, and ResNet Techniques
HG Muhammad, ZA Khalaf - Basrah Researches Sciences, 2024 - jou.jobrs.edu.iq
This study compares three different pre-trained deep learning models specifically designed
for fingerprint identification. The first model uses Convolutional Neural Network (CNN), the …
for fingerprint identification. The first model uses Convolutional Neural Network (CNN), the …
[PDF][PDF] Using Persistence Barcode to Show the Impact of Data Complexity on the Neural Network Architecture
LM Alhelfi, HM Ali - Iraqi Journal of Science, 2022 - iasj.net
It is so much noticeable that initialization of architectural parameters has a great impact on
whole learnability stream so that knowing mathematical properties of dataset results in …
whole learnability stream so that knowing mathematical properties of dataset results in …
[PDF][PDF] Deep Learning for Detection and Predictive of the Progression of Alzheimer's Disease
AW AL-NUAIMI, JJ Stephan, SM Almashkoor - Journal of Education and …, 2023 - iasj.net
Alzheimer's disease is a degenerative neurological disorder that primarily strikes older
people. Alzheimer's disease is now a major health problem for anyone over the age of 65 …
people. Alzheimer's disease is now a major health problem for anyone over the age of 65 …