[HTML][HTML] TTCNN: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages

S Maqsood, R Damaševičius, R Maskeliūnas - Applied Sciences, 2022 - mdpi.com
Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …

[HTML][HTML] Computer-aided screening of aspiration risks in dysphagia with wearable technology: a Systematic Review and meta-analysis on test accuracy

DKH Lai, ESW Cheng, HJ Lim, BPH So… - Frontiers in …, 2023 - ncbi.nlm.nih.gov
Aspiration caused by dysphagia is a prevalent problem that causes serious health
consequences and even death. Traditional diagnostic instruments could induce pain …

[HTML][HTML] A model for predicting cervical cancer using machine learning algorithms

N Al Mudawi, A Alazeb - Sensors, 2022 - mdpi.com
A growing number of individuals and organizations are turning to machine learning (ML)
and deep learning (DL) to analyze massive amounts of data and produce actionable …

[HTML][HTML] Sonoelastography for testicular tumor identification: a systematic review and meta-analysis of diagnostic test accuracy

DKH Lai, ESW Cheng, YJ Mao, Y Zheng, KY Yao, M Ni… - Cancers, 2023 - mdpi.com
Simple Summary Testicular cancer is a prevalent malignancy in young men aged 15 to 35
years. Sonoelastography is an emerging technique for distinguishing between non …

[HTML][HTML] Deep learning cascaded feature selection framework for breast cancer classification: Hybrid CNN with univariate-based approach

NA Samee, G Atteia, S Meshoul, MA Al-antari… - Mathematics, 2022 - mdpi.com
With the help of machine learning, many of the problems that have plagued mammography
in the past have been solved. Effective prediction models need many normal and tumor …

[HTML][HTML] An efficient multi-scale convolutional neural network based multi-class brain MRI classification for SaMD

SA Yazdan, R Ahmad, N Iqbal, A Rizwan, AN Khan… - Tomography, 2022 - mdpi.com
A brain tumor is the growth of abnormal cells in certain brain tissues with a high mortality
rate; therefore, it requires high precision in diagnosis, as a minor human judgment can …

[HTML][HTML] A night-time monitoring system (eNightLog) to prevent elderly wandering in hostels: A three-month field study

JCW Cheung, EWC Tam, AHY Mak, TTC Chan… - International journal of …, 2022 - mdpi.com
Older people are increasingly dependent on others to support their daily activities due to
geriatric symptoms such as dementia. Some of them stay in long-term care facilities. Elderly …

[HTML][HTML] A new univariate feature selection algorithm based on the best–worst multi-attribute decision-making method

DPM Abellana, DM Lao - Decision Analytics Journal, 2023 - Elsevier
With the extensive applicability of machine learning classification algorithms to a wide
spectrum of domains, feature selection (FS) becomes a relevant data preprocessing …

[HTML][HTML] Breast lesion classification with multiparametric breast MRI using radiomics and machine learning: A comparison with radiologists' performance

I Daimiel Naranjo, P Gibbs, JS Reiner, R Lo Gullo… - Cancers, 2022 - mdpi.com
Simple Summary Currently, breast contrast-enhanced MRI is the most sensitive imaging
technique for breast cancer detection; however, its specificity is low given the common …

Efficient breast cancer diagnosis from complex mammographic images using deep convolutional neural network

H Rahman, TF Naik Bukht, R Ahmad… - Computational …, 2023 - Wiley Online Library
Medical image analysis places a significant focus on breast cancer, which poses a
significant threat to women's health and contributes to many fatalities. An early and precise …