Diagnosis and detection of infected tissue of COVID-19 patients based on lung X-ray image using convolutional neural network approaches
COVID-19 pandemic has challenged the world science. The international community tries to
find, apply, or design novel methods for diagnosis and treatment of COVID-19 patients as …
find, apply, or design novel methods for diagnosis and treatment of COVID-19 patients as …
Presentation of novel architecture for diagnosis and identifying breast cancer location based on ultrasound images using machine learning
Y Pourasad, E Zarouri, M Salemizadeh Parizi… - Diagnostics, 2021 - mdpi.com
Breast cancer is one of the main causes of death among women worldwide. Early detection
of this disease helps reduce the number of premature deaths. This research aims to design …
of this disease helps reduce the number of premature deaths. This research aims to design …
MCADNNet: Recognizing stages of cognitive impairment through efficient convolutional fMRI and MRI neural network topology models
Mild cognitive impairment (MCI) represents the intermediate stage between normal cerebral
aging and dementia associated with Alzheimer's disease (AD). Early diagnosis of MCI and …
aging and dementia associated with Alzheimer's disease (AD). Early diagnosis of MCI and …
The Performance of Brain Tumor Diagnosis Based on Machine Learning Techniques Evaluation-A Systematic Review
MO Khairandish, M Sharma… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
This research aims to investigate the performance of brain tumor diagnosis and treatment
using machine learning algorithms. This study provides systematic review of papers on the …
using machine learning algorithms. This study provides systematic review of papers on the …
Fractal dimension: analyzing its potential as a neuroimaging biomarker for brain tumor diagnosis using machine learning
D Battalapalli, S Vidyadharan… - Frontiers in …, 2023 - frontiersin.org
Purpose: The main purpose of this study was to comprehensively investigate the potential of
fractal dimension (FD) measures in discriminating brain gliomas into low-grade glioma …
fractal dimension (FD) measures in discriminating brain gliomas into low-grade glioma …
In silico prediction methods of self-interacting proteins: an empirical and academic survey
In silico prediction of self-interacting proteins (SIPs) has become an important part of
proteomics. There is an urgent need to develop effective and reliable prediction methods to …
proteomics. There is an urgent need to develop effective and reliable prediction methods to …
Efficient Multi-Biometric Secure-Storage Scheme Based on Deep Learning and Crypto-Mapping Techniques
A Sedik, AAA El-Latif, MA Wani, FEA El-Samie… - Mathematics, 2023 - mdpi.com
Cybersecurity has been one of the interesting research fields that attract researchers to
investigate new approaches. One of the recent research trends in this field is cancelable …
investigate new approaches. One of the recent research trends in this field is cancelable …
Alzheimer's disease detection using machine learning techniques in 3D MR images
S Aruchamy, A Haridasan, A Verma… - … on Emerging Trends …, 2020 - ieeexplore.ieee.org
This study proposes a new method for the detection of Alzheimer's Disease (AD) using first-
order statistical features in 3D brain Magnetic Resonance (MR) images. Alzheimer's disease …
order statistical features in 3D brain Magnetic Resonance (MR) images. Alzheimer's disease …
Improving performance of medical image fusion using histogram, dictionary learning and sparse representation
Y Li, Z Lv, J Zhao, Z Pan - Multimedia Tools and Applications, 2019 - Springer
Medical image fusion has attracted much attention in recent years, which aims to fuse
different medical images into a more informative and clearer one. The fused image is able to …
different medical images into a more informative and clearer one. The fused image is able to …
Alzheimer's disease classification in brain MRI using modified kNN algorithm
S Aruchamy, V Mounya, A Verma - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is a neuro degenerative disease that is usually observed in
elderly people which ultimately leads to the death of the patient. As no proper treatment …
elderly people which ultimately leads to the death of the patient. As no proper treatment …