Transfer learning-based smart features engineering for osteoarthritis diagnosis from knee X-ray images

A Rehman, A Raza, FS Alamri, B Alghofaily… - IEEE Access, 2023 - ieeexplore.ieee.org
Osteoarthritis is a deteriorating joint disease affecting millions worldwide. Osteoarthritis is a
chronic condition that develops over time due to joint wear and tears. The degeneration of …

Overview of metaheuristic algorithms

SM Almufti, AA Shaban, ZA Ali, RI Ali… - Polaris Global Journal of …, 2023 - pgjsrt.com
Metaheuristic algorithms are optimization algorithms that are used to address complicated
issues that cannot be solved using standard approaches. These algorithms are inspired by …

Osteo-net: An automated system for predicting knee osteoarthritis from x-ray images using transfer-learning-based neural networks approach

HA Alshamrani, M Rashid, SS Alshamrani… - Healthcare, 2023 - mdpi.com
Knee osteoarthritis is a challenging problem affecting many adults around the world. There
are currently no medications that cure knee osteoarthritis. The only way to control the …

Hybrid techniques of x-ray analysis to predict knee osteoarthritis grades based on fusion features of cnn and handcrafted

A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Knee osteoarthritis (KOA) is a chronic disease that impedes movement, especially in the
elderly, affecting more than 5% of people worldwide. KOA goes through many stages, from …

An adaptive early stopping technique for DenseNet169-based knee osteoarthritis detection model

BAS Al-Rimy, F Saeed, M Al-Sarem, AM Albarrak… - Diagnostics, 2023 - mdpi.com
Knee osteoarthritis (OA) detection is an important area of research in health informatics that
aims to improve the accuracy of diagnosing this debilitating condition. In this paper, we …

CNN-based Deep Transfer Learning Approach for Detecting Breast Cancer in Mammogram Images

DA Zebari, H Haron, DM Sulaiman… - 2022 IEEE 10th …, 2022 - ieeexplore.ieee.org
Researchers are motivated to investigate deep learning (DL) techniques for mammogram
images because of the limitations of conventional systems-based computer-aided detection …

Enhancing Brain Tumor Classification with Data Augmentation and DenseNet121

NA Zebari, AAH Alkurdi… - Academic Journal of …, 2023 - journals.nawroz.edu.krd
This research paper presents a comprehensive study on the development and evaluation of
a brain tumor classification model using advanced image processing and deep learning …

Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem

AA Shaban, JAD Fuente, MS Salih… - Qubahan Academic …, 2023 - journal.qubahan.com
Swarm Intelligence algorithms are computational intelligence algorithms inspired from the
collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm …

Handwritten Digit Classification Using Deep Learning Convolutional Neural Network

EA Khorsheed, AK Al-Sulaifanie - Journal of Soft Computing …, 2024 - penerbit.uthm.edu.my
Due to the wide range of handwriting styles among individuals and the low image quality of
the handwritten text, accurate handwriting detection has been a difficult challenge in …

A New Preprocessing Method for Diabetes and Biomedical Data Classification

S CHALO, İB AYDİLEK - Qubahan Academic Journal, 2022 - journal.qubahan.com
People of all ages and socioeconomic levels, all over the world, are being diagnosed with
type 2 diabetes at rates that are higher than they have ever been. It is possible for it to be the …