Automated uterine fibroids detection in ultrasound images using deep convolutional neural networks

A Shahzad, A Mushtaq, AQ Sabeeh, YY Ghadi… - Healthcare, 2023 - mdpi.com
Fibroids of the uterus are a common benign tumor affecting women of childbearing age.
Uterine fibroids (UF) can be effectively treated with earlier identification and diagnosis. Its …

Driving drowsiness detection using spectral signatures of EEG-based neurophysiology

S Arif, S Munawar, H Ali - Frontiers in physiology, 2023 - frontiersin.org
Introduction: Drowsy driving is a significant factor causing dire road crashes and casualties
around the world. Detecting it earlier and more effectively can significantly reduce the lethal …

[PDF][PDF] Hyperspectral Images-Based Crop Classification Scheme for Agricultural Remote Sensing.

I Ali, Z Mushtaq, S Arif, AD Algarni… - Comput. Syst. Sci …, 2023 - researchgate.net
Hyperspectral imaging is gaining a significant role in agricultural remote sensing
applications. Its data unit is the hyperspectral cube which holds spatial information in two …

[PDF][PDF] Efficient thyroid disorder identification with weighted voting ensemble of super learners by using adaptive synthetic sampling technique

N Afshan, Z Mushtaq, FS Alamri, MF Qureshi… - AIMS …, 2023 - researchgate.net
There are millions of people suffering from thyroid disease all over the world. For thyroid
cancer to be effectively treated and managed, a correct diagnosis is necessary. In this …

Hard voting ensemble approach for the detection of type 2 diabetes in mexican population with non-glucose related features

JA Morgan-Benita, CE Galván-Tejada, M Cruz… - Healthcare, 2022 - mdpi.com
Type 2 diabetes mellitus (T2DM) represents one of the biggest health problems in Mexico,
and it is extremely important to early detect this disease and its complications. For a …

Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review

DS Saleh, MS Othman - Baghdad Science Journal, 2024 - bsj.uobaghdad.edu.iq
Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and
treatment of thyroid disease can help prevent more serious complications and improve long …

Ensemble-based effective diagnosis of thyroid disorder with various feature selection techniques

T Akhtar, S Arif, Z Mushtaq, SO Gilani… - … Conference of Smart …, 2022 - ieeexplore.ieee.org
Thyroid illness is characterized by the abnormal growth of thyroid tissue on the thyroid
gland's periphery. Hyperthyroidism and hypothyroidism are the two most common types of …

[PDF][PDF] Butterfly Optimized Feature Selection with Fuzzy C-Means Classifier for Thyroid Prediction.

SJK Kumar, P Parthasarathi, M Masud… - … Automation & Soft …, 2023 - cdn.techscience.cn
The main task of thyroid hormones is controlling the metabolism rate of humans, the
development of neurons, and the significant growth of reproductive activities. In medical …

Deep learning-based classification of wheat leaf diseases for edge devices

AA Khan, S Raza, MF Qureshi… - … on Emerging Trends …, 2023 - ieeexplore.ieee.org
This paper proposes a deep learning-based approach for classifying wheat leaf diseases
such as stripe rust and septoria for edge devices. The study used a 407 wheat leaf images …

[PDF][PDF] ur Rehman, MZ; Qureshi, MF; Jamil, F. Automated Uterine Fibroids Detection in Ultrasound Images Using Deep Convolutional Neural Networks. Healthcare …

A Shahzad, A Mushtaq, AQ Sabeeh, YY Ghadi… - 2023 - academia.edu
Fibroids of the uterus are a common benign tumor affecting women of childbearing age.
Uterine fibroids (UF) can be effectively treated with earlier identification and diagnosis. Its …