Molecular subtypes classification of breast cancer in DCE-MRI using deep features

AM Hasan, NKN Al-Waely, HK Aljobouri… - Expert Systems with …, 2024 - Elsevier
Breast cancer is a major cause of concern on a global scale due to its high incidence rate. It
is one of the leading causes of death for women, if left untreated. Dynamic contrast …

Sensor-Based Human Activity Recognition Based on Multi-Stream Time-Varying Features with ECA-Net Dimensionality Reduction

ASM Miah, YS Hwang, J Shin - IEEE Access, 2024 - ieeexplore.ieee.org
Sensor-based datasets are extensively utilized in human-computer interaction (HCI) and
medical applications due to their portability and strong privacy features. Many researchers …

Advanced CNN-Based Classification and Segmentation for Enhanced Breast Cancer Ultrasound Imaging

J Cheyi, YÇ Kaya - Gazi University Journal of Science Part A …, 2024 - dergipark.org.tr
Breast cancer (BC) is one of the primary causes of mortality in women globally. Thus, early
and exact identification is critical for effective treatment. This work investigates deep …

Automated Detection and Visualization of Local Kidney Images with Artificial Intelligence Models

H Saleh, HK Aljobouri, HM Amasha - Al-Nahrain Journal for Engineering …, 2024 - nahje.com
Kidney disease is a global health concern, often leading to kidney failure and impaired
function. Artificial intelligence and deep learning have been extensively researched, with …

Effective Feature Selection on Transfer Deep Learning Algorithm for Thyroid Nodules Ultrasound Detection

GB Alghanimi, H Aljobouri, KA Alshimmari… - Al-Nahrain Journal for …, 2024 - nahje.com
Thyroid nodules (TNs) are discrete abnormalities located within the thyroid gland that are
radiologically different from the surrounding thyroid tissue. Ultrasound is an accurate and …

ANN-Based Formulation of Path Loss Prediction for Radio Wave Propagation for Indoor Agriculture and Sensor Networks

MS Salim, N Sabri, AA Dheyab - Nanotechnology Perceptions, 2024 - nano-ntp.com
The wireless sensor network has proven to be a useful instrument for providing farmers with
accurate data on the condition of their crops. Although the FSPL, 2-Ray, COST235, and …