Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction
Breast cancer remains the most diagnosed cancer in women. Advances in medical imaging
modalities and technologies have greatly aided in the early detection of breast cancer and …
modalities and technologies have greatly aided in the early detection of breast cancer and …
Deep learning denoising for EOG artifacts removal from EEG signals
N Mashhadi, AZ Khuzani, M Heidari… - 2020 IEEE Global …, 2020 - ieeexplore.ieee.org
There are many sources of interference encountered in the electroencephalogram (EEG)
recordings, specifically ocular, muscular, and cardiac artifacts. Rejection of EEG artifacts is …
recordings, specifically ocular, muscular, and cardiac artifacts. Rejection of EEG artifacts is …
An approach to human iris recognition using quantitative analysis of image features and machine learning
AZ Khuzani, N Mashhadi, M Heidari… - 2020 IEEE Global …, 2020 - ieeexplore.ieee.org
The Iris pattern is a unique biological feature for each individual, making it a valuable and
powerful tool for human identification. In this paper, an efficient framework for iris recognition …
powerful tool for human identification. In this paper, an efficient framework for iris recognition …
Image quality enhancement in wireless capsule endoscopy with adaptive fraction gamma transformation and unsharp masking filter
R Ezatian, D Khaledyan, K Jafari… - 2020 IEEE Global …, 2020 - ieeexplore.ieee.org
Wireless Capsule Endoscopy (WCE) presented in 2001 as one of the key approaches to
observe the entire gastrointestinal (GI) tract, generally the small bowels. It has been used to …
observe the entire gastrointestinal (GI) tract, generally the small bowels. It has been used to …
Multi-path synergic fusion deep neural network framework for breast mass classification using digital breast tomosynthesis
L Wang, C Zheng, W Chen, Q He, X Li… - Physics in Medicine …, 2020 - iopscience.iop.org
Objective. To develop and evaluate a multi-path synergic fusion (MSF) deep neural network
model for breast mass classification using digital breast tomosynthesis (DBT). Methods. We …
model for breast mass classification using digital breast tomosynthesis (DBT). Methods. We …
Applying a new feature fusion method to classify breast lesions
N Mashhadi, AZ Khuzani, M Heidari… - Medical Imaging …, 2021 - spiedigitallibrary.org
Developing a computer-aided diagnosis (CAD) scheme to classify between malignant and
benign breast lesions can play an important role in improving MRI screening efficacy. This …
benign breast lesions can play an important role in improving MRI screening efficacy. This …
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm
M Heidari, S Mirniaharikandehei… - Medical Imaging …, 2021 - spiedigitallibrary.org
As the rapid spread of coronavirus disease (COVID-19) worldwide, X-ray chest radiography
has also been used to detect COVID-19 infected pneumonia and assess its severity or …
has also been used to detect COVID-19 infected pneumonia and assess its severity or …
A new case-based CAD scheme using a hierarchical SSIM feature extraction method to classify between malignant and benign cases
M Heidari, S Mirniaharikandehei… - Medical Imaging …, 2020 - spiedigitallibrary.org
The purpose of this study is to assess feasibility of developing a new case-based computer-
aided diagnosis (CAD) scheme of mammograms based on a tree-based analysis of SSIM …
aided diagnosis (CAD) scheme of mammograms based on a tree-based analysis of SSIM …
Prediction of Near-Term Breast Cancer Occurrence using Subtraction of Temporally Sequential Digital Mammograms
K Loizidou, G Skouroumouni… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Breast cancer remains one of the leading cancers for women worldwide. Fortunately, with
the introduction of mammography, the mortality rate has significantly decreased. However …
the introduction of mammography, the mortality rate has significantly decreased. However …
A CAD tool for breast cancer prediction using naive bayes classifier
Even though today's medical field is technologically advanced, some diseases still haunt the
human race by posing a hustle in its existence. In addition to the sophisticated tools and …
human race by posing a hustle in its existence. In addition to the sophisticated tools and …